TU Wien Research Data
Not a member yet
512 research outputs found
Sort by
Elßle liebes Elselein (Ger_1533-1_n34) Audio recording
No full text<h1>Audio recording of a lute piece from the E-LAUTE project</h1><h2>Overview</h2><p>This dataset contains an audio recording of the piece "Elßle liebes Elselein", a 16th century lute music piece originally notated in lute tablature, created as part of the E-LAUTE project (<a href="https://e-laute.info/">https://e-laute.info/</a>). The recording preserves and makes historical lute music from the German-speaking regions during 1450-1550 accessible.</p><p>The recording is based on the work with the title "Elßle liebes Elselein" and the id "Ger_1533-1_n34" in the e-lautedb. It is found on the page(s) or folio(s) XXXIv-XXXIIv [=XXXIIv-XXXIIIv] in the source "Tabulatur auff die Laudten" with the source-id "Ger_1533-1".</p><p>The original source and multiple transcriptions of the work can be found on the E-LAUTE platform: <a href="https://edition.onb.ac.at/fedora/objects/o:lau.Ger_1533-1/methods/sdef:TEI/get?mode=n34" target="_blank">https://edition.onb.ac.at/fedora/objects/o:lau.Ger_1533-1/methods/sdef:TEI/get?mode=n34</a>.</p><p>Links to the source: <a href="http://resolver.staatsbibliothek-berlin.de/SBB0001F5B500000000" target="_blank">http://resolver.staatsbibliothek-berlin.de/SBB0001F5B500000000</a>, <a href="https://opac.rism.info/rism/Record/rism993104093" target="_blank">https://opac.rism.info/rism/Record/rism993104093</a>, <a href="https://gateway-bayern.de/VD16+G+1578" target="_blank">https://gateway-bayern.de/VD16+G+1578</a>, .</p><h2>Dataset Contents</h2><p>This dataset includes:</p><ul><li><strong>Audio file</strong>: An audio recording of the lute piece in .wav format</li> <li><strong>Metadata file</strong>: A metadata file with detailed information about the recording in .json format</li></ul><h2>About the E-LAUTE Project</h2><p><strong>E-LAUTE: Electronic Linked Annotated Unified Tablature Edition - The Lute in the German-Speaking Area 1450-1550</strong></p><p>The E-LAUTE project creates innovative digital editions of lute tablatures from the German-speaking area between 1450 and 1550. This interdisciplinary "open knowledge platform" combines musicology, music practice, music informatics, and literary studies to transform traditional editions into collaborative research spaces.</p><p>For more information, visit the project website: <a href="https://e-laute.info/">https://e-laute.info/</a></p>
Research data for "Epoxide-functionalized hyperbranched polyethylene and its applications in functional polymer synthesis and hot lithography photopolymer toughening"
No full text<h3>Context and methodology</h3>
<div>This dataset was collected during a research project on photopolymers for 3D printing within the framework of a PhD thesis at the Department of Polymers of University of Chemistry and Technology in Prague and at the Institute of Applied Synthetic Chemistry, TU Wien. It provides the raw data of results presented and discussed therein. The data is published within below-referenced publication.</div>
<h3>Technical details</h3>
<div>The dataset entails the raw data of various analyses collected in an Excel file <code>Raw data figures</code>:<br>Tab 1: "Figure 3a PhotoDSC": PhotoDSC data obtained during curing of PE-GU formulation.</div>
<div>Tab 2: "Figure 3b RhotoRheo": PhotoRheology data obtained during curing of PE-GU formulation.</div>
<div>Tab 3: "Figure 5a Tensile test": Stress-strain curves obtained during tensile testing of PE-GU, PE-EU and CE matrix formulations.</div>
<div>Tab 4: "Figure 5b DMTA": Dynamic mechanical thermal analysis data obtained during tensile testing of PE-GU, PE-EU and CE matrix formulations.<br><br><code>NMR data</code> are included in zip (.rar) archive as raw FID data which can be opened with community-standard programmes (e.g. MestRe Nova, TopSpin).</div>
<h3>Abbreviations</h3>
<div>CE matrix: Reference formulation containing cycloaliphatic epoxide 3,4-Epoxycyclohexylmethyl-3',4'-epoxycyclohexane carboxylate<br>DMTA: Dynamic mechanical thermal analysis</div>
<div>DSC: Differential scanning calorimetry<br>FID: Free induction decay</div>
<div>NMR: Nuclear magnetic resonance spectroscopy<br>PE-EU: Cycloaliphatic epoxide formulation containing polyethylene rubber functionalized with ethyl ester groups.<br>PE-GU: Cycloaliphatic epoxide formulation containing polyethylene rubber functionalized with glycidyl groups.</div>
Proof of Concept: JUNON Digital Twin (v1.4) -- Prebuilt Image
No full text<h2>Proof of Concept: JUNON Digital Twin (v1.4) -- Prebuilt Image</h2>
<h3>Context</h3>
<p>This repository contains the <strong>prebuilt Docker image</strong> for the Proof of Concept: <strong>JUNON Digital Twin (v1.4d)</strong>, as referenced in:</p>
<blockquote>
<p>Iglesias Vázquez, F. (2025). <em>Proof of Concept: JUNON Digital Twin (v1.4d)</em>. TU Wien. <a href="https://doi.org/10.48436/b615a-vgd97">https://doi.org/10.48436/b615a-vgd97</a></p>
</blockquote>
<p>Although it is recommended to use the referenced repository directly, this prebuilt image is provided to ensure <strong>future reproducibility</strong>, especially in cases where building the image or resolving compatibility issues becomes problematic. This version is a byte-perfect snapshot of the environment used in the proof of concept.</p>
<p>All external Docker images are pinned <strong>using SHA-256 digests</strong>, avoiding mutable tags such as "latest". This ensures that the computational environment can always be<br>reconstructed <strong>exactly as described</strong>, independent of upstream changes.</p>
<h3>Technical details</h3>
<ul>
<li>"python-app_1.4d.tar" is the prebuilt image of <em>python-app </em>module<em>, </em>version<em> 1.4d</em></li>
<li>"python-app_1.4d.sha256" is the checksum of the <em>python-app_1.4d.tar </em>file.</li>
<li>"docker-compose.yml" uses exact DockerHub module references and the image contained in this repository.</li>
<li>"README.md" contains instructions to use the image in this repository.</li>
</ul>
<h3>Usage</h3>
<p>Load the container image via <code>docker load -i python-app_1.4d.tar</code>, and replace the <code>docker-compose.yml</code> from the <em>JUNON Digital Twin (v1.4d)</em> dataset with the variant supplied here.<br>Then, the dataset can be used as per usual.</p>
<h3>Licenses</h3>
<p>The <code>docker-compose.yml</code> is licensed under the MIT license.<br>The licenses for the container image can be found in <code>python-app_1.4d.licenses-spdx.json</code>.</p>
Generation of Picosecond Ion Pulses Using Laser-Stimulated Desorption from a Tungsten Nanotip - Dataset
No full text<h2>Dataset Description</h2>
<p>This data repository provides the underlying data and plotting routines associated with the manuscript titled "Generation of Picosecond Ion Pulses Using Laser-Stimulated Desorption from a Tungsten Nanotip" by Redl et al., published in <em>Physical Review Research (2025). DOI: </em><a href="https://doi.org/10.1103/7wdx-97pf">https://doi.org/10.1103/7wdx-97pf</a></p>
<p>In the manuscript, we demonstrate a compact experimental method for generating sub-100 ps ion pulses at 4.5–8.5 keV using laser-stimulated desorption from room-temperature tungsten nanotips. Femtosecond UV pulses ionize adsorbed atoms and molecules within the naturally nanoscale field-enhanced region at the tip apex, enabling efficient ion production at moderate fluence. Time-of-flight measurements show stable, well-timed pulses, and we systematically map their dependence on laser settings and gas loading conditions. This simple source design supports time-resolved ion–solid interaction experiments and opens the door to future pump–probe studies.</p>
<p>All data files are released under the Creative Commons Attribution 4.0 International (CC-BY) license, while all code files are distributed under the MIT license.</p>
<h2>Dataset Layout</h2>
<ul>
<li><code>Analysis.py</code> - script for parse data files and basic analysis functionality</li>
<li><code>Paper.py</code> - script for pretty plottin</li>
<li><code>plot_laser.py</code> - plotting script for Fig.2</li>
<li><code>plot_pressure.py</code> - plotting script for Fig.3</li>
<li><code>plot_voltage.py</code> - plotting script for Fig.4</li>
<li><code>simulation</code> - folder for simulation output</li>
<li><code>style</code> - folder for plot styles</li>
<li><code>plots</code> - output folder of plotting scripts</li>
<li><code>data</code> - folder with all generated experimental data</li>
</ul>
<h2>Uncommon data Types</h2>
<ul>
<li><code>.cod2</code> - binned histogram data in ascii-format</li>
<li><code>.lmftxt</code> - individual MCP events in ascii-format</li>
<li><code>.lmf</code> - individual MCP events in byte-format</li>
</ul>
<h2>Script Requirements</h2>
<p>Scripts were run using Python 3.13.1 on Windows with following packages installed</p>
<ul>
<li>numpy (2.3.5)</li>
<li>matplotlib (3.10.7)</li>
<li>scipy (1.16.3)</li>
</ul>
3D-source files, pdf and video for the Diploma Thesis "pet house - a demountable tiny house made from timber and PET-bottles"
No full text<h2>3D-source files, pdf and video for the Diploma Thesis "pet house - a demountable tiny house made from timber and PET-bottles"</h2>
<h3>German Title of the thesis: "pet house - ein zerlegbares Tiny House aus Holz und Wasserflaschen"</h3>
<p><strong>File overview:</strong><br><strong>Video:</strong> pet_house_film.mp4<br><strong>Video Subtitles:</strong> pet_house_film.mp4.srt<br><strong>3D Source File:</strong> Felix_Neudeck_pet_house_open_source.pln<br><strong>3D Alternative:</strong> Felix_Neudeck_pet_house_open_source.dxf<br><strong>Thesis PDF:</strong> Felix_Neudeck_Diplomarbeit_pet_house_digital.pdf<br><strong>Thesis PDF/A:</strong> Felix_Neudeck_Diplomarbeit_pet_house_digital_pdfa.pdf</p>
<h3>3D-Files:</h3>
<p>This dataset includes the 3D files for the tiny house design "pet house", as descibed in the thesis. The file was originally created in Archicad 26, educational version. For optimal usability it is recommended to open the original .pln file in <a href="https://en.wikipedia.org/wiki/Archicad">Archicad</a> 26 or a later version. Only in Archicad proper navigation via layers and layer combinations can be guaranteed. Readability in the .dxf file format and with other applications might be inferior. Only use the .dxf file supplied if you don't have access to Archicad.</p>
<p>Feel free to use the file as inspiration for your own works. The design is highly experimental, so the author denies any responsibility regarding the actual functionality of the design. It is highly recommended to consult the video and the thesis for a proper understanding of the design.</p>
<h3>Video:</h3>
<p>The Video tells the story of the whole project, including construction of the prototype. It is recommended to watch the Video on Youtube. The upload of the Video to this repository is only for archival purposes. The link to the Video on Youtube is as follows: <a href="https://youtu.be/XJD09ugNCuM">https://youtu.be/XJD09ugNCuM</a></p>
<h3>PDF:</h3>
<p>The thesis with full resolution images and without any watermarks is available as documents as PDF and <a href="https://en.wikipedia.org/wiki/PDF/A">PDF/A</a> files. In it you can also find contact information of the author.</p>
<h3>License & Contact Info:</h3>
<p>For any desired commercial use of the files or other questions please contact the author via the information provided in the pdf.</p>
Highly fluorescent aerosol particle and fungal DNA data collected in Pallas from April to September 2023
No full text<p><strong>Station information: </strong><br>Data was recorded at Sammaltunturi Station (67.9733°N 24.1157°E) at 564 m above sea level in the Pallas Atmosphere-Ecosystem Supersite in the sub-Arctic region of Finnish Lapland. Instruments were connected to a heated total suspended particles (TSP) inlet. </p>
<h3><br>Data recorded with Wideband Integrated Bioaerosol Sensor 5/NEO (Droplet Measurement Technology, USA), short WIBS:</h3>
<p>The instrument was operated between 13.04.2023 16:30 (UTC+2h) and 28.08.2023 18:30 (UTC+2h).</p>
<p>Instrument description: <br>The WIBS samples air with a sample flow rate of 0.3 l/min and uses a 635 nm diode laser to measure the size of single particles between 0.5 and 30 µm and to trigger two xenon lamps with excitation wavelengths of 280 nm and 370 nm. Fluorescence emission intensity is measured in two emission windows of 310 - 400 nm and 432 - 650 nm, resulting in three main fluorescence channels: <br>FL1 (excitation 280 nm and emission 310 to 400 nm), FL2 (excitation 280 nm and emission 420 to 650 nm) and FL3 (excitation 370 nm and emission 420 to 650 nm). <br>A particle is considered highly fluorescent if it exceeds the 9 sigma fluorescence threshold (forced trigger intensity plus nine standard deviations) in any channel (HFAP). <br>HFAPs are split into 10 types of fluorescent particles : <br>HFAP_A (FL1 only), <br>HFAP_B (FL2 only), <br>HFAP_C (FL3 only), <br>HFAP_AB (FL1 and FL2 only), <br>HFAP_AC (FL1 and FL3 only), <br>HFAP_BC (FL2 and FL3 only)<br>HFAP_ABC (FL1 and FL2 and FL3), <br>HFAP_FL1 (A+AB+AC+ABC), <br>HFAP_FL2(B+AB+BC+BC) and <br>HFAP_FL3 (C+AC+BC+ABC).</p>
<p>Data acquisition, evaluation and quality control are described in detail in Gratzl et al., (2025) for data collected during the PaCE22 campaign, and were handled in the same way for this data.</p>
<p><br><strong>Information about the datafile "TUW_WIBS_HFAP_CONC_b1_13.04.2023-28.08.2023.csv":</strong></p>
<p>Overview: <br>This data set contains number concentrations of total aerosol particles (TAPs) and highly fluorescent aerosol particles (HFAPs) of diameter 0.5 to 30 µm (optical equivalent diameter) obtained by WIBS.</p>
<p>Data description: This data set contains 13 variables:<br>(1) "Startime (UTC+2)": The starting date and time of the 30-minute measuring interval (dd.MM.yyyy hh:mm) in UTC+2h,<br>(2) "N_TAP": Number concentration of total particles measured from 0.5 µm to 30 µm in cm^(-3) as a 30-minute average,<br>(3) "N_HFAP_FL": Number concentration of total highly fluorescent particles (9 sigma threshold) measured from 0.5 µm to 30 µm in cm^(-3) as a 30-minute average,<br>(4) "N_HFAP_FL1": Number concentration of highly fluorescent particles in FL1 (9 sigma threshold) measured from 0.5 µm to 30 µm in cm^(-3) as a 30-minute average,<br>(5) "N_HFAP_FL2": Number concentration of highly fluorescent particles in FL2 (9 sigma threshold) measured from 0.5 µm to 30 µm in cm^(-3) as a 30-minute average,<br>(6) "N_HFAP_FL3": Number concentration of highly fluorescent particles in FL3 (9 sigma threshold) measured from 0.5 µm to 30 µm in cm^(-3) as a 30-minute average,<br>(7) "N_HFAP_A": Number concentration of highly fluorescent particles in A (9 sigma threshold) measured from 0.5 µm to 30 µm in cm^(-3) as a 30-minute average,<br>(8) "N_HFAP_B": Number concentration of highly fluorescent particles in B (9 sigma threshold) measured from 0.5 µm to 30 µm in cm^(-3) as a 30-minute average,<br>(9) "N_HFAP_C": Number concentration of highly fluorescent particles in C (9 sigma threshold) measured from 0.5 µm to 30 µm in cm^(-3) as a 30-minute average,<br>(10) "N_HFAP_AB": Number concentration of highly fluorescent particles in AB (9 sigma threshold) measured from 0.5 µm to 30 µm in cm^(-3) as a 30-minute average,<br>(11) "N_HFAP_AC": Number concentration of highly fluorescent particles in AC (9 sigma threshold) measured from 0.5 µm to 30 µm in cm^(-3) as a 30-minute average,<br>(12) "N_HFAP_BC": Number concentration of highly fluorescent particles in BC (9 sigma threshold) measured from 0.5 µm to 30 µm in cm^(-3) as a 30-minute average,<br>(13) "N_HFAP_ABC": Number concentration of highly fluorescent particles in ABC (9 sigma threshold) measured from 0.5 µm to 30 µm in cm^(-3) as a 30-minute average.</p>
<p>Data level: b1 – data with quality control checks applied and missing data points or those with bad values were set to "nan".<br>All concentration values are reported per standard volume of air.</p>
<p><br><strong>Information about the datafile "TUW_WIBS_HFAP_SD_b1_13.04.2023-28.08.2023.csv":</strong></p>
<p>Overview: <br>This data set contains number size distributions of total aerosol particles (TAPs) and highly fluorescent particles (HFAPs) of diameter 0.50 to 30.42 µm (optical equivalent diameter) in 15 logarithmically equidistant size channels: <br>0.55 - 0.66 µm, 0.66 - 0.86 µm, 0.86 - 1.14 µm, 1.14 - 1.50 µm, 1.50 - 1.97 µm, 1.97 - 2.59 µm, 2.59 - 3.40 µm, 3.40 - 4.47 µm, 4.47 - 5.88 µm, 5.88 - 7.73 µm, 7.73 - 10.17 µm, 10.17 - 13.37 µm, 13.37 - 17.59 µm, 19.59 - 23.13 µm, 23.13 - 30.42 µm, obtained by a WIBS.</p>
<p>Data description: This data set contains 13 variables:<br>(1) "Startime (UTC+2)": The starting date and time of the 30-minute measuring interval (dd.MM.yyyy hh:mm) in UTC+2h<br>(2) "SD_TAP": Number size distribution (dN/dlogDp) of total particles measured from 0.5 µm to 30 µm in cm^(-3) in 15 size channels as a 30-minute average,<br>(3) "SD_HFAP_FL": Number size distribution (dN/dlogDp) of total fluorescent particles (9 sigma threshold) measured from 0.5 µm to 30.42 µm in cm^(-3) in 15 size channels as a 30-minute average,<br>(4) "SD_HFAP_FL1": Number size distribution (dN/dlogDp) of fluorescent particles in FL1 (9 sigma threshold) measured from 0.5 µm to 30.42 µm in cm^(-3) in 15 size channels as a 30-minute average,<br>(5) "SD_HFAP_FL2": Number size distribution (dN/dlogDp) of fluorescent particles in FL2 (9 sigma threshold) measured from 0.5 µm to 30.42 µm in cm^(-3) in 15 size channels as a 30-minute average,<br>(6) "SD_HFAP_FL3": Number size distribution (dN/dlogDp) of fluorescent particles in FL3 (9 sigma threshold) measured from 0.5 µm to 30.42 µm in cm^(-3) in 15 size channels as a 30-minute average,<br>(7) "SD_HFAP_A": Number size distribution (dN/dlogDp) of fluorescent particles in A (9 sigma threshold) measured from 0.5 µm to 30.42 µm in cm^(-3) in 15 size channels as a 30-minute average,<br>(8) "SD_HFAP_B": Number size distribution (dN/dlogDp) of fluorescent particles in B (9 sigma threshold) measured from 0.5 µm to 30.42 µm in cm^(-3) in 15 size channels as a 30-minute average,<br>(9) "SD_HFAP_C": Number size distribution (dN/dlogDp) of fluorescent particles in C (9 sigma threshold) measured from 0.5 µm to 30.42 µm in cm^(-3) in 15 size channels as a 30-minute average,<br>(10) "SD_HFAP_AB": Number size distribution (dN/dlogDp) of fluorescent particles in AB (9 sigma threshold) measured from 0.5 µm to 30.42 µm in cm^(-3) in 15 size channels as a 30-minute average,<br>(11) "SD_HFAP_AC": Number size distribution (dN/dlogDp) of fluorescent particles in AC (9 sigma threshold) measured from 0.5 µm to 30.42 µm in cm^(-3) in 15 size channels as a 30-minute average,<br>(12) "SD_HFAP_BC": Number size distribution (dN/dlogDp) of fluorescent particles in BC (9 sigma threshold) measured from 0.5 µm to 30.42 µm in cm^(-3) in 15 size channels as a 30-minute average,<br>(13) "SD_HFAP_ABC": Number size distribution (dN/dlogDp) of fluorescent particles in ABC (9 sigma threshold) measured from 0.5 µm to 30.42 µm in cm^(-3) in 15 size channels as a 30-minute average,<br>Variables (2) to (13) each consist of 15 values per time interval for the 15 size channels. The size channels are indicated as "_(lower limit_upper limit)" in µm.</p>
<p>Data level: b1 – data with quality control checks applied and missing data points or those with bad values were set to "nan".</p>
<p>All concentration values are reported per standard volume of air.<br><br></p>
<p><strong>Information about the datafile "TUW_WIBS_ABC_raw_particle_data_a1_13.04.2023-28.08.2023.csv":</strong></p>
<p>Overview:<br>This data set contains the asymmetry factor, diameter and fluorescence intensity in FL1, FL2 and FL3, respectively, for every single ABC particle detected with WIBS between 13.04.2023 22:00:13 and 28.08.2023 16:34:15. <br>The Asymmetry factor is a dimensionless number between 0 and 100 and indicates the sphericity of the particle, where 0 should be yielded by a hypothetical perfect sphere and a thin fiber should yield a value close to 100.<br>The fluorescence intensities are threshold corrected (intensity - (forced trigger intensity + nine standard deviations)).</p>
<p>Data description: This data set contains 7 variables:<br>(1) "ABC_particle_number": The number of the detected ABC particle, <br>(2) "Timestamp (dd.MM.yyyy hh:mm:ss)": The date and time of the detection of the ABC particle in UTC,<br>(3) "Asymmetry_factor": The asymmetry factor of the detected particle,<br>(4) "Diameter (µm)" The optical equivalent diameter in µm,<br>(5) "Fluorescence_intensity_FL1 (a.u.)": The fluorescence intensity in the FL1 channel in arbitrary units after threshold correction,<br>(6) "Fluorescence_intensity_FL2 (a.u.)": The fluorescence intensity in the FL2 channel in arbitrary units after threshold correction,<br>(7) "Fluorescence_intensity_FL2 (a.u.)": The fluorescence intensity in the FL3 channel in arbitrary units after threshold correction,</p>
<p>Data level: a1 – data converted to physical units.</p>
<h3><br>Data from eDNA sequencing of fungi:</h3>
<p>Description:<br>8 47 mm polycarbonat filters with 0.2 µm pore size were installed in a metal filter holder inside Sammaltunturi station, connected to the TSP (Total suspended particles) inlet between 16.09.2023, 11:05 and 20.09.2023, 14:31 (UTC+2h). The flow rate was held constant at 4 stdl/min.</p>
<p>DNA extraction, library preparation and sequencing, quality filtering and processing, taxonomic assignment, and data analysis were performed to analyze the fungal ITS2 region using Illumina MiSeq and various bioinformatics tools.<br><br></p>
<p><strong>Information about the datafile "TUW_OTU_relative_abundance_a1_16.09.2023-20.09.2023":</strong></p>
<p>Overview:<br>This dataset contains the relative abundance of sequence reads of fungal species for each of 8 air filters between 16.09.2023 and 20.09.2023.<br>The start and end times of filter sampling are indicated in the data file.</p>
<p>Data description: This data set contains 15 variables:<br>(1) "Species number": The number of the detected species (1 - 226) in order of highest to lowest median abundance over all 8 filters,<br>(2) "OTU": The Operational Taxonomic Unit of the detected fungus,<br>(3) "Phylum",<br>(4) "Class",<br>(5) "Order",<br>(6) "Genus",<br>(7) "Species".<br>(8) "Filter 1": Relative abundance of reads of the fungus defined with variables (2) to (7) on Filter 1,<br>(9) "Filter 2": Same as (8), but with Filter 2,<br>(10) "Filter 3": Same as (8), but with Filter 3,<br>(11) "Filter 4": Same as (8), but with Filter 4,<br>(12) "Filter 5": Same as (8), but with Filter 5,<br>(13) "Filter 6": Same as (8), but with Filter 6,<br>(14) "Filter 7": Same as (8), but with Filter 7,<br>(15) "Filter 8": Same as (8), but with Filter 8.</p>
<p>Data level: a1 – data converted to physical units.<br><br></p>
<p><strong>Reference: </strong><br>Gratzl, J., Brus, D., Doulgeris, K., Böhmländer, A., Möhler, O., and Grothe, H.: Fluorescent aerosol particles in the Finnish sub-Arctic during the Pallas Cloud Experiment 2022 campaign, Earth Syst. Sci. Data Discuss. [preprint], https://doi.org/10.5194/essd-2024-543, in review, 2025.</p>
<p><strong>Contact: </strong><br>Jürgen Gratzl, TU Wien, [email protected], or Hinrich Grothe, TU Wien, [email protected]</p>
Elements of Geodetic and Astrometric Very Long Baseline Interferometry
No full text<p>This text is an open tutorial document for educational purposes, e.g., for newcomers to geodetic and astrometric Very Long Baseline Interferometry (VLBI) but also for the specialists wanting to expand their knowledge about topics which are not in their main focus. It is supposed to be a living document with changes and additions to be made at reasonable intervals. </p>
<p>VLBI is an observing technique which has applications in geodesy, astrometry and astronomy. Observing instruments are radio telescopes which receive electromagnetic radiation emitted by compact objects in space either far distant such as quasars or nowadays also closer to Earth such as spacecraft and satellites. Geodetic VLBI aims at determining (a) telescope coordinates and their kinematic movements for establishing and<br>maintaining terrestrial reference frames, (b) the (angular) parameters of the Earth’s variable rotation, (c) the angular positions of galactic and extra-galactic radio sources establishing and maintaining celestial reference frames, and (d) the positions of artificial transmitters in space near the Earth.</p>
Imaging Interface and Particle Size Effects by In Situ Correlative Microscopy of a Catalytic Reaction - Dataset
No full text<p>Metadata for the open access publication <strong>"Imaging Interface and Particle Size Effects by In Situ Correlative Microscopy of a Catalytic Reaction"</strong> (https://doi.org/10.1021/acscatal.3c00060)</p>
<p>A complete list of dataset files can be seen in "filelist.txt". The files contain the data that generated the figures in the referenced publication and are structured according their order of appearence in the publication. The dataset contains the following file types:</p>
<ul>
<li>standart image files (bmp, tif)</li>
<li>SPEM spectroscopy data (hdf)</li>
<li>processing notes and channel calibration (m, txt)</li>
<li>PEEM video data (his, h5, ROI)</li>
<li>QMS mass spectrometry data (SI-d)</li>
</ul>
<p>Additional context, methodology, and technical details is provided in the publication.</p>
RIS Synergy Ergebnisse
No full text<p><span>Präsentation der RIS Synergy Projektergebnisse auf der Expo 2025 des Cluster Forschungsdaten.</span></p>
Data for the publication "Ce3Bi4Ni3 – A large hybridization-gap variant of Ce3Bi4Pt3"
No full text<h3>Context and methodology</h3>
<ul>
<li>This repository contains the data behind the figures in the publication "Ce3Bi4Ni3 – A large hybridization-gap variant of Ce3Bi4Pt3" (10.1103/PhysRevResearch.6.0).</li>
<li>The publication presents and discusses the synthesis and physical properties of the new heavy fermion compound Ce3Bi4Ni3, which is an isoelectronic analog of the prototypical Kondo insulator Ce3Bi4Pt3 and the Weyl-Kondo semimetal Ce3Bi4Pd3.</li>
<li>This dataset was created manually by collecting and ordering the relevant data.</li>
</ul>
<h3>Technical details</h3>
<ul>
<li>For each figure there is a corresponding file containing the data shown in the figure. Data files are of type DAT and named logically after the figure they correspond to. </li>
<li>The dataset does not require any specific software for reading.</li>
</ul>
<h3>Description of the data</h3>
<ul>
<li><strong>fig1d.dat</strong> contains a room-temperature powder XRD pattern of Ce3Bi4Ni3 ("Yobs") together with the refinement ("Ycalc"), the difference between measured data and refinement ("Yobs-Ycalc"), as well as the positions of the expected refraction peaks ("Bragg_position") all as a function of the angle ("2 theta").</li>
<li><strong>fig1e.dat</strong> contains the lattice parameter ("a") for the compounds Ce3Bi4Ni3 and Ce3Bi4(Ni0.19Pd0.81)3.</li>
<li><strong>fig2.dat</strong> contains an EDX spectrum ("counts") as a function of energy ("E") corresponding to one point measurement of a polished Ce3Bi4Ni3 crystal.</li>
<li><strong>fig3a.dat</strong> contains the electrical resistivity ("rho_xx") of Ce3Bi4Ni3 as a function of temperature ("T") in zero magnetic field.</li>
<li><strong>fig3b.dat</strong> contains the Hall coefficient ("RH") of Ce3Bi4Ni3 as a function of temperature ("T").</li>
<li><strong>fig3c.dat</strong> contains the electrical resistivity data in Arrhenius form ("2*ln[R/R(300K]" as a function of inverse temperature "1/T") together with a linear fit to the data above 100 K ("linear fit").</li>
<li><strong>fig3d.dat</strong> contains the Hall coefficient data in Arrhenius form ("2*ln RH" as a function of inverse temperature "1/T") together with a linear fit to the data above 100 K ("linear fit").</li>
<li><strong>fig4a.dat</strong> contains the magnetic susceptibility ("chi") of Ce3Bi4Ni3 as a function of temperature ("T") measured with a magnetic field of 1 T.</li>
<li><strong>fig4b.dat</strong> contains the inverse magnetic susceptibility ("1/chi") as a function of temperature ("T") together with a Curie-Weiss fit ("linear fit") at high temperatures.</li>
<li><strong>fig4c.dat</strong> contains the magnetization ("M") of Ce3Bi4Ni3 as a function of magnetic field ("H") at 2 K, 10 K, 100 K, and 300 K.</li>
<li><strong>fig5.dat</strong> contains the specific heat ("C") of Ce3Bi4Ni3 as a function of temperature ("T") together with a fit ("Cph+gap fit") corresponding to the Debye model plus an additional Schottky-like electronic contribution derived for Kondo insulators.</li>
<li><strong>fig5inset.dat</strong> contains the low temperature specific heat divided by temperature ("C/T") as a function of temperature squared ("T^2") together with the fit from <em>Fig5</em> divided by temperature ("Cph+gap fit/T") and additionally shifted to match the measured data ("Cph+gap fit/T shifted").</li>
<li><strong>fig6a.dat</strong> contains the electrical resistances of Ce3Bi4Ni3 and Ce3Bi4(Ni0.19Pd0.81)3 normalized to their respective room temperature value ("R/R300K") as a function of temperature ("T").</li>
<li><strong>fig6b.dat</strong> contains the magnetic susceptibility ("chi") of Ce3Bi4Ni3 as a function of temperature ("T").</li>
<li><strong>fig7a.dat</strong> contains the characteristic temperature scales corresponding to the position of the maximum of the magnetic susceptibility ("T^chi_max"), the Kondo temperature ("T_K") and the Kondo energy gap ("Delta/k_B") as well as the inverse residual resistivity ratio ("iRRR") for the Ce3Bi4X3 series (X = Ni, Pd, Pt).</li>
<li><strong>fig7b.dat</strong> contains the Kondo energy gap ("Delta/k_B") as function of the d-electron density of states at the Fermi level ("d DOS (E_F)") for the Ce3Bi4X3 series (X = Ni, Pd, Pt).</li>
</ul>