TU Wien Research Data
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RAAV - Results of the PT-STA accessibility analysis
<h2>Dataset description</h2><p>As part of the project <strong>"RAAV - Rural Accessibility and Automated Vehicles"</strong> between the TU Vienna (Austria) and the EURAC institute (Bolzano, Italy), this file serves to summarise the results of a test of the PT-STA method in a comprehensible manner and to make them publicly available.</p><h3>Context and methodology</h3><p>An adaption of a classical STA accessibility analysis was formulated and the new method tested on a sample of over 100 individuals in Mühlwald, South Tyrol and over 100 individuals in Sooß, Lower Austria. The test is based on travel diaries, which have been attained in cooperation with and by interviewing said individuals.</p><p>To be as transparent as possible the data is provided in the Microsoft Excel format with all cell references. By doing this, we ensure that the data can also be used and adapted for other research. The travel diaries on which this research is based on can be accessed here: https://researchdata.tuwien.ac.at/records/hq7b7-xsa12</p><h3>Technical details</h3><p>The dataset contains one Microsoft Excel file containing multiple data sheets. All data from both regions, Mühlwald and Sooß were cumulated. In order to ensure data protection and anonymisation all names, addresses and coordinates of interviewed people, origins and destinations have been deleted from the dataset.</p><p>Other than Microsoft Excel, there is no additional software needed to investigate the data. The first datasheet gives an overview of abbreviations and data stored in each data sheet. </p>
3D Reconstruction Model of the Former Synagogue in the Siebenbrunnengasse 1a, Vienna (1907/08 | Architect: Jakob Gartner)
<p>This record contains model data originally created in the framework of seminar work of Andreas Muttenthaler at TU Wien (2001).</p><p>Facts: Association synagogue of the Beth Aharon Temple Association (House of Aron) founded in 1875, built 1907/08 | Architect: Jakob Gartner | Capacity: seating for 173 women and 283 men | Appearance: façade with twin towers, Romanesque decoration, towers with onion domes</p><p>See also:</p><p>* City Guide --> https://www.lit-verlag.de/isbn/978-3-643-90170-5</p><p>* Locations for comparison:</p><p>- Braunhubergasse 7 - 1100 Vienna</p><p>- Humboldtgasse 27 - 1100 Vienna</p><p>- Kluckygasse 11 - 1200 Vienna</p><p> </p><p>The data set includes</p><p>- Modelling software: ArchiCAD *.PLA - Archive</p><p>- Rendering Software: ArtLantis *.ATLA - Archive</p><p>- Panoramic representation: *.HTML & *.PNO</p><p> </p>
Legal CaPER Benchmark
<p>The Legal <strong>Ca</strong>se <strong>P</strong>assage <strong>E</strong>xtraction and <strong>R</strong>etrieval benchmark is an information retrieval benchmark collection for court case passage retrieval. Specifically, it is a collection for evaluating Cited Case Passage Retrieval (CCPR) and contains case passages from the Austrian building regulations domain (Source: RIS). The following files are included in the dataset:</p><ul><li>full_collection.tsv</li></ul><p>A tab separated file containing the passage texts of court cases from the building regulations domain. Column 1 contains the ID of the passage, Column 2 contains the passage text and Column 3 contains the case ID (Geschäftszahl) of the origin case of the passage.</p><ul><li>queries.tsv</li></ul><p>A tab separated file containing the queries / topics for which relevance assessments exist in this collection. Column 1 contains the ID of the query, Column 2 contains the query passage text and Column 3 contains the case ID (Geschäftszahl) of the cited case. For the task of CCPR, it is intended that results are additionally filtered based on exact matches of the case ID. For each query, only relevance assessments exist for passages that match the case ID of column 3.</p><ul><li>qrel.json</li></ul><p>Contains relevance assessments for each query. In this dictionary, a passage from the full collection is relevant for a query if qrel[<query ID>][<passage ID>] == 1. If a passage ID is not in qrel[<query ID>], it is not relevant. Relevance assessments only exist for full collection passages that match the case ID of the query.</p><ul><li>qrel.json.txt</li></ul><p>A conversion of the qrel.json file to be compatible with trec eval.</p>
Materials of Erasmus+ TrainRDM Open Science Training Week in Bucharest
<p>Presentations, and exercises of the <a href="https://rdmtraininghub.eu/">TrainRDM</a> Open Science train-the-trainer week. The event was held at Universitatea Politehnica din București, Bucharest, from 27 March to 30 March 2023. </p><h2><strong>Acknowledgement</strong></h2><p>TrainRDM – Open Science and Research Data Management Innovative and Distributed Training Programme has been funded with support from the European Commission. </p><p>Project website: <a href="https://rdmtraininghub.eu/">https://rdmtraininghub.eu/</a>; Project ID: 2020-1-RO01-KA203-080170</p>
3D Reconstruction Model of the Former Synagogue in the Tempelgasse 3, Vienna (1854–1858 | Architect: Ludwig von Förster)
<p>This record contains model data originally created in the framework of the masters' thesis of Andreas Schaukowitsch at TU Wien (2018).</p><p>Facts: Synagogue of the Jewish Community | built 1854–1858; dedicated on 15 June 1858 | Architects: Ludwig von Förster, Wilhelm Stiassny (renovation 1898) | Capacity: 2,240 seated and 1,500 standing | Appearance: historicist classicism with Moorish, Arabic and Assyrian quotations, three-aisled hall-type building with two side wings separated by courtyards</p><p>See also:</p><p>* City Guide --> https://www.lit-verlag.de/isbn/978-3-643-90170-5</p><p>* Locations for comparison:</p><p>- Budapest Dohany street - Great Synagogue</p><p>- Bucharest - Choral Synagogue</p><p> </p><p> </p><p> </p><p> </p><p>The data set includes</p><p>- Modelling software: ArchiCAD *.PLA - Archive</p><p>- Rendering Software: ArtLantis *.ATLA - Archive</p><p>- Panoramic representation: *.HTML & *.PNO</p>
arXiv-1901.10256:Chemical pressure effect on the optical conductivity of the nodal-line semimetals ZrSiY(Y=S,Se,Te) and ZrGeY(Y=S,Te)
<p>This is a repository for the theory part of the above paper published in Phys. Rev. B 99, 125154 (2019).</p><p>zrsis-manuscript.zip: contains manuscript and figures</p><p>ZrXY.tgz: research data obtained with Wien2k and wannier90: basic scf calculation, optical conductivities, wannierization, tight-binding fits for various hopping ranges </p><p> </p>
Interactive Virtual Roundtable for EU Project CO-VERSATILE, 1/4
<p>The <a href="https://co-versatile.eu/">Co-Versatile project</a> is composed of 21 partners across Europe and Israel, 14 from the industry and 7 from academia, represented by 9 countries, which have come together to brainstorm ways and build solutions with the aim to <strong>increase the adaptability, resilience and flexibility</strong> of the European manufacturing sector, <strong>focusing on vital medical supplies and equipment</strong>, <strong>to support </strong>Europe in improving its <strong>response and preparedness</strong> to deal with pandemics and/or any other extreme situations.</p><p>A series of four <strong>Interactive Virtual Roundtables (VRTs</strong>) was designed to be carried out during the CO-VERSATILE project. A VRT is an activity and space developed to raise awareness, foster knowledge transfer, generate conceptual alignment, and initiate the adoption of corrective measures whenever there is a demand or a need.</p><ul><li><strong>1st VRT:</strong> Legal and Ethical issues</li><li><strong>2nd VRT:</strong> Gender and Intersectionality – Theories, tools and benefits within the context of the CO-VERSATILE project</li><li><strong>3rd VRT:</strong> Intellectual Property – Data usage agreement, ownership of data and discoverability, visibility and re-use of project outcomes</li><li><strong>4th VRT:</strong> Results Ownership List (ROL)</li></ul><p>Furthermore, the VRTs also opened space for:</p><ul><li>Indication of relevant/supportive documents (i.e. <a href="https://eige.europa.eu/gender-mainstreaming/toolkits/gear">GEAR – Gender Equality in Academia and Research</a>);</li><li>Collection of partners' testimonials presented in the 1st VRT (i.e. WP2 – Build, Measure and Learn and WP5 - Communication & dissemination activities);</li><li>Conducting internal surveys (in order to monitor and collect data);</li><li>Development of auxiliary documents for the consortium members' use, such as dossiers, templates and deliverables.</li></ul><p><strong>Acknowledgement</strong></p><p>This <strong>Interactive Virtual Roundtable (VRT</strong>) was developed exclusively for the CO-VERSATILE project funded by the European Union's Horizon 2020 research and innovation programme under grant agreement No 101016070. </p>
SMLM datasets of the T cell receptor (TCR) on murine T cells on non-activating bilayers (label: CD3zeta-PS-CFP2 and H57-AF647)
<p>Single molecule localization microscopy images recorded by Benedikt Rossboth (BR) and Florian Baumgart (FB) for Fig. 2b and Fig. 3b in Rossboth et al. 2018 Nature Immunology.</p><p>CD3zeta-PS-CFP2 PALM data: recorded 2016/11/21, 2016/11/15, 2016/09/28 by BR</p><p>H57-Alexa Fluor 647 dSTORM data: recorded on 2017/01/23 and 2017/01/24 by BR and FB</p><p>all recordings on fixed T-cells attached to non-activating bilayers (see publication for more details).</p><p>File format: SPE (TIFF). </p><p>Loading of files: </p><p>1. FIJI (supports SPE format)<br>2. Python: 3.1. pims.open or <br> 3.2. https://github.com/schuetzgroup/sdt-python (documentation: https://schuetzgroup.github.io/sdt-python/io.html)<br>3. Matlab: function can be provided upon request</p>
SFG Spectroscopy of Pd/GR Model Catalysts
<p>The Lise Meitner project (M 2787-N) examined CO adsorption on metal surfaces by combining laser spectroscopy with surface science methods. As a first major result, CO adsorbed on smooth/perfect Ir(111) was found to be tilted at high coverage but upright at low coverage, analyzed by combined sum frequency generation (SFG) spectroscopy and density functional theory (DFT) calculations. However, on rough/defective surfaces, the CO tilt angle had only weak coverage-dependence and CO preferred being upright. CO can adopt three different overlayer structures characterized by low energy electron spectroscopy (LEED): and diffuse at low exposure, and at high exposure/pressure. The former two overlayer structures have been often reported, while the latter one has been rarely observed. </p><p>Further studies, also including X-ray photoelectron spectroscopy (XPS) and LEED indicated that CO dissociation does not occur at low pressure/high temperature or high pressure/low temperature. However, after heatup (room temperature to ~600 K) and cooldown (~600 K to room temperature) in a background of high pressure CO, the obtained irreversible SFG spectra implied that CO dissociated on both the smooth and defective Ir(111), yielding carbon deposits. SFG spectra upon carbon oxidation and XPS spectra of Ir(111) after annealing in CO at ~600 K indirectly and directly confirmed the formation of surface carbon species, respectively. DFT calculations suggested that at high CO partial pressure and thus high CO surface coverage, adsorbed surface CO can react with gas phase CO at increasing temperature via disproportionation (Boudouard reaction 2CO ↔ CO2 + C), forming CO2 and leaving a C atom behind on the Ir surface.</p><p>A graphene (GR) monolayer was successfully grown on Ir(111) by thermal decomposition of ethylene. Characterization by LEED evidenced a complete continuous GR-layer because no CO intercalation was observed in SFG spectra at several mbar pressure, further confirmed by LEED patterns of GR/Ir(111). After 10s Argon ion sputtering, the LEED patterns of GR became fuzzy, indicating damage. However, upon exposing several mbar CO on sputtered GR/Ir(111), no CO signal was observed in SFG. This demonstrates that even a damaged structure of graphene fully covers the Ir surface, preventing CO adsorption. The GR/Ir(111) surface is currently used as a substrate for the growth of Pd nanoparticles.</p>
RT-Percept Scenes
<p>All scenes shown in <a href="https://jaliborc.github.io/rt-percept/">Training and Predicting Visual Error for Real-Time Applications. </a>For each scene, includes:</p><ul><li>.py script to load the scene with correct settings on the RT-Percept renderer</li><li>.blender project capable of generating random viewpoints on the scene</li><li>.cfg with our sampled viewpoint pairs</li><li>all required geometry, material and texture data, which is either copied or modified from existing sources (licensed for freely distribution) and included by us for sake of conveniency. we do not claim authorship nor ownership of any that data.</li></ul><p>See <a href="https://casual-effects.com/g3d/data10/">McGuire CG Archive</a> and <a href="https://developer.nvidia.com/orca">ORCA </a>for the originals of these scenes.</p>