Universität Innsbruck - Data Repository
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Programms and raw simulation data for "Intermediate scattering function of Brownian particles in a tilted cosine potential"
No full text<p> Programms and raw data for the paper "Intermediate scattering function of Brownian particles in a tilted cosine potential"</p>
<p> </p><p>Included is the main plotting program and the tilted washboard programm, which create the all plots of the paper. <br>In the main python program is the numerical algorithm to obatin the semi-analytical data. <br>In calc_msdlog_dis.cpp the simulation code is provieded.</p>
<p> There are in the raw_data folder is the raw data and files that explain which parameters were used.</p>
Oxide Growth and Place-Exchange on Au(111) in Alkaline Electrolyte
No full text<p>Raw data for publication: DOI: <a href="https://doi.org/10.1021/acselectrochem.5c00505" rel="noopener"><span>10.1021/acselectrochem.5c00505</span></a></p>
<p> </p><p><span>Understanding the oxidation processes of noble metals is essential for the elaborate design of functional and stable materials for electrochemical applications, where electrocatalysis is currently central due to the need of efficient direct energy conversion devices. Single crystalline gold (Au(111)) is an important noble metal standard, as it has high relevance as electrocatalyst material and is best suited for the study of fundamental surface and interface processes due to its high nobility and the model applicability of the processes at its electrified solid/liquid interface. Under electrochemical conditions, Au(111) oxidation proceeds via a place-exchange mechanism, in which surface Au atoms exchange positions with adsorbed oxygen species. While this process is well studied in acidic media, where it results in the nucleation and growth of adatom and vacancy islands alongside partial dissolution, its behavior in alkaline media remains less explored. Here, we investigate the oxidation of Au(111) in 0.1 M NaOH, providing new insights into the oxidation process and associated surface restructuring mechanisms. Using electrochemical scanning tunneling microscopy, we directly observe the growth of a surface oxide layer across the Au(111) terraces, which reveals the slow, kinetically limited dynamics of the place-exchange process. Once this place-exchange process has occurred, the pristine surface structure is not restored upon electrochemical reduction within experimental timescales, as vacancy islands form and persist. These findings are crucial for developing strategies to mitigate catalyst degradation and enhance the stability of Au-based materials in electrochemical applications.</span></p>
MS_XevoTQXS_2025_March
No full text<p><strong>Acqity Premier + Xevo TQXS </strong> <br>AMP03AA<br>TKI05AC<br>TKI02BB<br>TKI04BO<br>PH01AA<br>RLI02AB<br>AMP03AB</p>
Tolterodine is a novel candidate for assessing CYP3A4 activity through metabolic volatiles to predict drug responses
No full text<p>LC-data</p>
<p>The data used for the experiments are available in CSV files. As many control measurements were carried out, there are often more data in the files than was used for analysis. Each file contains a calibration, as well as blank and unknown sample measurements. The data were measured using a Vanquish HPLC Flex system with a binary pump, coupled to an Orbitrap Q-Exactive mass spectrometer (both from Thermo Fisher Scientific). Evaluation was performed using the ‘QuanBrowser’ software (Thermo Xcalibur 4.2.47, Thermo Fisher Scientific). See the following publication for more information: https://doi.org/10.1038/s41598-025-86450-9</p>
<p> </p>
<p>PTR-data</p>
<p>The data used for the experiments are available as .txt files. As many control measurements were carried out, there are often more data in the files than was used for analysis. The data were measured using a PTR-ToF 6000 X2 (Ionicon Analytik GmbH, Innsbruck, Austria). The data obtained from these measurements were analysed using PTR-ToF-MS Viewer software (version 3.4.4.22, Ionicon Analytik GmbH) and saved as a .txt file. The acetone product ion signal (C₃H₇O⁺) was normalised to a reagent ion signal of 10⁶ ions per second, in accordance with the following publication: https://doi.org/10.1038/s41598-025-86450-9</p>
Efficient Resizing and Topological Optimization of Real-World Water Distribution Networks in a Multi Criteria Decision-Making Framework
No full text<p>This repository contains the pseudocodes of four approaches aiming at efficiency improvements for pipe resizing and topology optimization of real-world water distribution networks, as proposed in:</p>
<p><strong>“Efficient Resizing and Topological Optimization of Real-World Water Distribution Networks in a Multi Criteria Decision-Making Framework”</strong></p>
<p><strong>Authors: </strong>Amin Minaei, Aaron C. Zecchin, Mohsen Hajibabaei, Djordje Mitrovic, Karel van Laarhoven, Ina Vertommen, Brad Alexander, Mirjam Blokker, Dragan Savic, Enrico Creaco, Robert Sitzenfrei<strong> </strong></p>
<h1>Overview:</h1>
<p>The framework optimizes the topology and pipe diameters of real world WDNs through four approaches, where the main modules are NSGA-II, Objective, Topology and Demand Edge Betweenness Centrality Design Functions.</p>
<p>The approaches are different in terms of search space reductions and surrogate modelling techniques.</p>
<h1>Outputs:</h1>
<p>Pareto front solutions with different qualities and speed of generation.</p>
Reactivation of the silenced BASP1 gene suppresses oncogenic WNT signaling in human colorectal cancer cells
No full text<p class="MsoNormal"><strong>Abstract</strong></p>
<p class="MsoNormal"><span>Starting from human colon cancer cells showing aberrant WNT/</span>β<span>-catenin/TCF signaling, hyperactivated MYC and silenced BASP1, we generated stable cell lines overexpressing BASP1, either ectopically, or by reactivating the dormant BASP1 promoter using a lentiviral CRISPR based system. BASP1 encodes a neuronal signaling protein and transcriptional co-repressor, from which tumor-suppressive functions have been described in avian cell systems and in multiple human cancer cell types. Proteome and transcriptome analyses revealed activation of several tumor and metastasis suppressors in BASP1-expressing cells, which also show strong repression of the transformed phenotype in terms of contact inhibition, anchorage-independent growth, and tumor formation. Cells with reactivated BASP1 display a flat and differentiated morphology with enhanced migratory potential, accompanied by expression of multiple genes implicated in actin polymerization, focal adhesion, and neuronal migration. Furthermore, MYC protein expression is substantially repressed due to BASP1-mediated transcriptional MYC downregulation involving BASP1 interaction with </span>β<span>-catenin and binding to the MYC promoter. Upon BASP1 activation, multiple key proteins of the canonical WNT signaling pathway become suppressed. One of these BASP1 targets is the protein kinase TNIK catalyzing phosphorylation of TCF7L2, the latter required for transcriptional MYC activation. Results obtained with a preclinical TNIK inhibitor in human colorectal cancer cells show efficient abrogation of MYC expression and consequently impaired dimerization with its interaction partner MAX. The antagonistic BASP1 effect on MYC and the MYC dependency on TNIK could enhance the development of strategies to interfere with oncogenic functions of the cancer driver MYC.</span></p>
<p><strong>Proteome Analysis</strong></p>
<p>For proteome analysis of the SW480-B and SW480-V cell lines, proteins were obtained from simultaneous proteo-metabolome liquid-liquid extraction (SPM-LLE), with the protein interphase being dissolved in the urea-containing buffer. For proteomics, sample purification by reversed phase solid phase extraction (RP-SPE) and consecutive proteome analysis by LC-MS/MS was performed using a nanoUHPLC System (Dionex UltiMate 3000 RSLCnano pro flow, Thermo Fisher Scientific) coupled to an orbitrap tribrid mass spectrometer (Orbitrap Fusion Lumos, Thermo Fisher Scientific) as described. LC-MS/MS raw data were processed using Thermo Scientific Proteome Discoverer 2.4 SP1. </p>
<p> </p>
Metapictor | Embedded Self-Portraits in Fifteenth-Century Painting – A Systematic Assessment
No full text<p><em>Metapictor</em> is part of the project <em>Embedded Self-Portraits in Fifteenth-Century Painting. A Systematic Assessment (2020–2025)</em> led by Lukas Madersbacher (LFU Innsbruck) and funded by the FWF (Principal Investigator Project P 33552). This upload contains the dataset collected as part of the <em>Metapictor</em> database curated by Elisabeth Krabichler, senior staff member.</p>
<h3>Context and methodology</h3>
<p>The aim of the project was to record, analyse and evaluate potential embedded self-portraits in <em>Fifteenth-Century</em> wall and panel paintings (in Italian, Dutch and German-speaking regions) and to make the collected data available digitally (open access). In addition the data will be published via a publicly accessible web application based on a relational database.</p>
<p>The data collected in the digital archive includes research data and further information on the project.</p>
<p>The research data is divided into catalogue entries in which objects (with object data) are combined with the data collected in the categories Artist, Portraits and Contexts.</p>
<ul>
<li>Artist: biographical data, overarching contexts, possible self-portraits</li>
<li>Portraits: theses on possible self-portraits, state of research and plausibility</li>
<li>Contexts: considerations on thematic references, multi-part art objects, groups of works and overarching aspects</li>
</ul>
<p>A detailed explanation of the data, their function and structure is provided in the readme.pdf (German) attached to the data set.</p>
<h3>Technical details</h3>
<ul>
<li>Database provided in the following formats: .sqlite, .json and, .xml</li>
<li>Documentation of the database structure in .pdf format (German)</li>
</ul>
<h3>Further details</h3>
<ul>
<li>
<p>Web platform: <a href="https://explore-research.uibk.ac.at/arts/metapictor/">https://explore-research.uibk.ac.at/arts/metapictor/</a> (with further information on methodology).</p>
</li>
</ul>
An Automated Graph Theory Framework for Reconstructing Missing Data in Stormwater Networks
No full text<p>This repository contains MATLAB code implementing a graph-based framework to reconstruct missing data in Urban Stormwater Networks (USNs), as proposed in the paper:</p>
<h3><strong>“Filling data gaps in urban stormwater networks: An automated graph theory framework for data collection and reconstruction” </strong></h3>
<h3><strong>Authors: Mohsen Hajibabaei, Sina Hesarkazzazi, Robert Sitzenfrei </strong></h3>
<h2> Overview</h2>
<div>The framework reconstructs missing:</div>
<div>- Pipe diameters</div>
<div>- Invert elevations (slopes)</div>
<div>It uses a series of modular steps based on graph theory, topology, and hydrodynamic modeling to infer missing data in stormwater networks.</div>
<div>---</div>
<h2> Folder Structure</h2>
<div> </div>
<div>├── Data_Reconstruction_Framework.m % Main script to run the framework</div>
<div>├── README.md % Project documentation</div>
<div>├── /Functions % Contains modular scripts and support files (e.g., run_uniformity_module.m)</div>
<div>├── /Network % Contains the SWMM input file (e.g., Toy-Example.inp)</div>
<div>├── /Result % Stores SWMM files after reconstruction</div>
<div>├── /SWMM % SWMM configuration</div>
<div>---</div>
<h2> ⚙️ Module Descriptions</h2>
<table>
<tbody>
<tr>
<td>Module </td>
<td>Purpose </td>
<td>Description </td>
<td>Paper Section</td>
</tr>
<tr>
<td>Uniformity</td>
<td>Diameter reconstruction</td>
<td>Identifies uniform diameter patterns across pipes to infer missing values</td>
<td>2.2.1 </td>
</tr>
<tr>
<td>Hierarchy</td>
<td>Diameter reconstruction</td>
<td>Utilizes network hierarchy and a customized graph metric to assign diameters</td>
<td>2.2.2 </td>
</tr>
<tr>
<td>Completion</td>
<td>Diameter reconstruction</td>
<td>Completes remaining unknown diameters that earlier modules could not reconstruct</td>
<td>2.2.3 </td>
</tr>
<tr>
<td>Elevation</td>
<td>Invert elevation reconstruction</td>
<td>Estimates missing elevations (slopes) using topological slope consistency and minimum recommended slopes</td>
<td>2.2.4 </td>
</tr>
<tr>
<td>Hydrodynamic</td>
<td>Functional validation</td>
<td>Validates reconstructed networks using SWMM simulations to ensure hydraulic feasibility</td>
<td>2.2.5 </td>
</tr>
</tbody>
</table>
<div> </div>
<h2> Example Network</h2>
<div>The `/Network` folder contains `Toy-Example.inp`, a synthetic complete dataset used for testing. </div>
<div>Missing data is introduced synthetically within the script using the array `r = [...]` (see Step 2 in the main script).</div>
<div>---</div>
<h2> Output</h2>
<div>After running the main script (`Data_Reconstruction_Framework.m`), the framework outputs:</div>
<div>- Reconstructed diameters and invert elevations</div>
<div>- Confidence levels for each reconstructed value</div>
<div>- Performance metrics:</div>
<div> - **MAPE**: Mean Absolute Percentage Error (diameters)</div>
<div> - **MAE**: Mean Absolute Error (elevations)</div>
<div>- A `Final_results` cell array summarizing all outputs</div>
<div>---</div>
<div> </div>
<h2> Contact</h2>
<div>For questions, collaborations, or feedback, please contact: </div>
<div> [email protected]</div>
<p> </p>
MS_Eclipse_2025_February
No full text<p><strong>Eclipse + Vanquish Neo </strong> <br>RLI02AA<br>Standards<br>TKI02BC<br>TKI04BL<br>TKI04BM</p>
<p><strong>Eclipse + ICS6000 </strong><br>MHO03CO<br>Standards<br>VBA01AA</p>
<p><strong>Eclipse + Nano U3000</strong> <br>Standards</p>
<p><br><strong>Eclipse + Vanquish Flex</strong> <br>TKI05AA<br>MAG02AJ<br>Standards</p>
<p><strong>direct infusion </strong> <br>TKI04BL</p>
Project LANGTI: Advising in language learning study for translation and interpreting purposes
No full text<p><strong>About</strong></p>
<p>This dataset was generated in the scope of the LANGTI project (Languages for Translations and Interpreting) conducted by Astrid Schmidhofer at the Department of Translation Studies at the University of Innsbruck. It targets language learning processes of students in translation and interpreting programmes.</p>
<p><strong>Context and methodology</strong></p>
<p>The dataset is part of an advising in language learning study, which studies language learning processes of students in translation and interpreting programmes. In this study, students were encouraged to embark on a self-learning journey and discuss their progress with their advisor in weekly sessions. Furthermore, each session had a topic of conversation related to language learning or translation and interpreting (e.g. language learning strategies, motivation, professions) that students had to prepare in advance. The interviews were conducted between October 2023 and June 2024 with one Spanish student (Lola) studying the BA degree in translation studies and one Austrian student (Peter) studying the MA degree in translation studies.</p>
<p><span>The interviews were transcribed by broadly following the rules for simple transcription explained in Dresing and Pehl (2018). The text was organised by speaker interventions. During anonymisation, placeholders were used for personal data; in a few exceptional cases, short fragments were deleted. </span></p>
<p><strong>Technical details</strong></p>
<p>The dataset structure follows the structure of the document “overview of sessions”. In order to read the dataset, no particular software is required.</p>
<p><strong>Further details</strong></p>
<p>Additional information about the study (e.g. the material used in the sessions) can be requested from the PI.</p>