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Data for: "Displaced Drude peak from pi-ton vertex corrections"
No full text<h3>Context and methodology</h3>
<ul>
<li>This repository contains raw data from the associated research work. It serves the purpose of aiding interested readers to reproduce the results of the related work and verify their validity.</li>
<li>The research area in which this dataset is created is that of condensed matter, strongly correlated electron systems, optical conductivity.</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 folder containing the data shown in the figure. Data files are of type DAT and named logically after data they contain.</li>
<li>The dataset does not require any specific software for reading.</li>
</ul>
Data for "Conductivity at Varying Frequencies as a method for differentiating Strawberry Ripeness and association with Colour Acceptance of Strawberry Nectars"
No full text<h2>Description</h2><p>This data set contains the raw conductivity data used to produce the paper "Conductivity at Varying Frequencies as a method for differentiating Strawberry Ripeness and association with Colour Acceptance of Strawberry Nectars" as a part of the HiStabJuice Project. </p><h3>Context and methodology</h3><ul><li>This csv file contains the conductivity data used to derive the HLR, and produce the statistics, tables and figures for the paper.</li><li>Each column heading refers to a different frequency in Hz, and the Conductivity is in mS/cm</li></ul>
Apple pomace as potential source of oxidative stress protecting dihydrochalcones
No full text<p>Phloridzin, a natural dihydrochalcone, exhibits a wide range of beneficial effects and even broader applications, spanning from the pharmaceutical to the food industry. It is found in high concentrations in apple fruit. When apples are processed into juice, approximately 30% of their weight remains as a byproduct known as pomace, making pomace an intriguing candidate as a source of phloridzin. </p>
<p><br>In this study, 13 apple cultivars were evaluated for their phloridzin content across different apple parts: flesh, peel, and seeds, as well as in apple juice and the byproduct pomace. The physical characteristics of the apples, including weight, size, starch content, and firmness, were measured to ensure their suitability for comparison. Methanol extracts were analyzed using the Folin–Ciocalteu assay for total phenolic content, HPLC for phloridzin quantification, and the FRAP assay for antioxidant activity.<br>Among the solid parts, seeds exhibited the highest phloridzin content, with an average of 7.2 g/kg of apple dry weight, followed by the peel and flesh. Regarding total phenolic content, the flesh and seeds were comparable, with averages of 8.8 g and 7.8 g of gallic acid equivalent per kg of apple dry weight, respectively. For juices and pomace, phloridzin concentrations were similar across all samples, ranging from 0.32 to 0.57 g/kg of apple dry weight. In terms of total phenolic content, untreated juice contained an average of 42 g/kg of apple dry weight. </p>
<p><br>Antioxidant activity was highest in the peel for the solid parts, with an average of 11.4 g of ascorbic acid equivalent per kg of apple dry weight, followed by the flesh and seeds. Among the juices, the treated juice exhibited the highest antioxidant activity, with an average of 29.7 g/kg of apple dry weight. Given the substantial amount of pomace produced during apple processing, it presents a promising and sustainable source for phloridzin extraction, particularly when using environmentally friendly extraction methods. <br><br>The data sheet represents the concentrations of each sample resulting from the three primary tests (HPLC, Folin–Ciocalteu assay, and FRAP). Additionally, each apple cultivar's physical characteristics (weight, size, starch, firmness). <br><br>This project IT-ETN-956257 is funded by Horizon 2020 <br><br><br><br></p>
Extended Information Delivery Specifications (IDS) dataset for the digital building permit process
No full text<h2>Description</h2>
<p>The published data is research data from the publication "Extending Information Delivery Specifications for digital building permit requirements" (<a href="https://doi.org/10.1016/j.dibe.2024.100560">https://doi.org/10.1016/j.dibe.2024.100560</a>). This publication examines the potential for extending the Information Delivery Specification (IDS) schema to facilitate its integration into the building permit process.<br>IDS is an open specification based on XML for defining and verifying information requirements for digital building models in the IFC format (an open format for BIM models).<br>The present concepts for extending IDS to define information requirements for escape route analysis and code compliance checks for Austrian fire resistance regulations.</p>
<p>This dataset contains the results of the mentioned publication. This includes the edited IDS schema (XML Schema Definition - XSD), the created IDS files, and BCF files (BIM Collaboration Format) used for the validation. The IDS files were used as input for a self-developed IDS software to check two IFC test models. The two test models are published in related datasets:<br>Custom test model for escape route analysis in IFC format: <a href="https://doi.org/10.48436/hx8gz-zw339">https://doi.org/10.48436/hx8gz-zw339</a><br>Real-world test model for escape route analysis in IFC format: <a href="https://doi.org/10.48436/fnmrh-crh59">https://doi.org/10.48436/fnmrh-crh59</a><br>The checking results were saved in the BCF files. Therefore, the checking results can be visualised by applying the published BCF files to the corresponding IFC models.</p>
<h3>Technical details</h3>
<p>The dataset contains three folders, one for each of the three data types: </p>
<ul>
<li>XSD-file: contains the adapted XML schema definition (XSD) for IDS. The basis for the adaption was version 1.0</li>
<li>IDS-files: contains IDS files for three different purposes:
<ul>
<li>Information-Requirements-EscapeRouteAnalysis.ids contains targeted information requirements for an IFC model to ensure the required data to perform an escape route analysis is possible.</li>
<li>Code-Compliance-Checking-OIB2-Tab1b contains code compliance checks for the fire resistance regulations defined in the Austrian OIB guideline 2 in Table 1b.</li>
<li>Code-Compliance-Checking-OIB2-Tab2a contains code compliance checks for the fire resistance regulations defined in the Austrian OIB guideline 2 in Table 2a.</li>
</ul>
</li>
<li>BCF-files: contains all BCF files (version 2.1) created in this research. The folder is structured in two subfolders. Each subfolder contains 6 BCF files, which are differentiated by the used IDS file and test model:
<ul>
<li>Applicable-elements: contains BCF files listing the applicable elements for each IDS specification</li>
<li>Checking-reports: contains BCF files listing the failed elements for each IDS specification. These are classic checking reports.</li>
</ul>
</li>
</ul>
<h3>Further details</h3>
<ul>
<li>The IDS files correspond to the adapted schema. Therefore, commercial IDS software cannot process these files. Their purpose is to show how the schema extension affects the structure of IDS files.</li>
<li>The BCF files use a standard BCF version and can be imported into commercial BIM software. The combination with the cited test models allows for visualising the checking results.</li>
</ul>
SDOstreamclust: Stream Clustering Robust to Concept Drift - Evaluation Tests
No full text<h2>SDOstreamclust Evaluation Tests</h2>
<p>conducted for the paper: <strong>Stream Clustering Robust to Concept Drift. </strong>Please refer to:</p>
<blockquote>
<p>Iglesias Vazquez, F., Konzett, S., Zseby, T., & Bifet, A. (2025). Stream Clustering Robust to Concept Drift. In <em>2025 International Joint Conference on Neural Networks (IJCNN)</em> (pp. 1–10). IEEE. <a href="https://doi.org/10.1109/IJCNN64981.2025.11227664">https://doi.org/10.1109/IJCNN64981.2025.11227664</a></p>
</blockquote>
<h3>Context and methodology</h3>
<p>SDOstreamclust is a stream clustering algorithm able to process data incrementally or per batches. It is a combination of the previous SDOstream (anomaly detection in data streams) and SDOclust (static clustering). SDOstreamclust holds the characteristics of SDO algoritmhs: lightweight, intuitive, self-adjusting, resistant to noise, capable of identifying non-convex clusters, and constructed upon robust parameters and interpretable models. Moreover, it shows excellent adaptation to concept drift </p>
<p>In this repository, SDOclust is evaluated with 165 datasets (both synthetic and real) and compared with CluStream, DBstream, DenStream, StreamKMeans.</p>
<p>This repository is framed within the research on the following domains: algorithm evaluation, stream clustering, unsupervised learning, machine learning, data mining, streaming data analysis. Datasets and algorithms can be used for experiment replication and for further evaluation and comparison.</p>
<p><strong>Docker</strong></p>
<p>A Docker version is also available in: <a href="https://hub.docker.com/r/fiv5/sdostreamclust" rel="nofollow">https://hub.docker.com/r/fiv5/sdostreamclust</a></p>
<h3>Technical details</h3>
<p>Experiments are conducted in <strong>Python v3.8.14</strong>. The file and folder structure is as follows:- [algorithms] contains a script with functions related to algorithm configurations.</p>
<ul>
<li> [data] contains datasets in ARFF format.</li>
<li> [results] contains CSV files with algorithms' performances obtained from running the "run.sh" script (as shown in the paper).</li>
<li>"dependencies.sh" lists and installs python dependencies.</li>
<li>"pysdoclust-stream-main.zip" contains the SDOstreamclust python package. </li>
<li>"README.md" shows details and intructions to use this repository.</li>
<li>"run.sh" runs the complete experiments.</li>
<li>"run_comp.py"for running experiments specified by arguments.</li>
<li>"TSindex.py" implements functions for the Temporal Silhouette index.</li>
</ul>
<div><strong>Note:</strong> if codes in SDOstreamclust are modified, SWIG (v4.2.1) wrappers have to be rebuilt and SDOstreamclust consequently reinstalled with pip. </div>
<h3>License</h3>
<p>The CC-BY license applies to all data generated with MDCgen. All distributed code is under the GPLv3+ license.</p>
<h3> </h3>
RAAV – Results of the Multi Criteria Decision Analysis (MCDA)
No full text<h2>General description</h2>
<p>As part of the project "RAAV - Rural Accessibility and Automated Vehicles" between the TU Vienna (Austria) and the EURAC institute (Bolzano, Italy), the listed data files serve to summarise the results of the stakeholder's integration process based on a Multi Criteria Decision Analysis (MCDA).</p>
<h3>Context and methodology</h3>
<p>In the RAAV project, five autonomous vehicles (AV)-based transport scenarios are designed in two rural areas, proposing autonomous bus lines, on-demand rideshare vans, and hybrid combinations of both over time and space. Their accessibility impacts are estimated through a modified space-time accessibility model, to highlight the most promising scenarios. Finally, a stakeholder integration process is conducted to complement the assessment of the AV scenarios and derive policy recommendations for those considered most preferable based on the accessibility model and stakeholder view.</p>
<p>The accessibility model results and the travel diaries on which this research is based on can be accessed here: </p>
<ul>
<li>Travel diaries: <a href="https://doi.org/10.48436/hq7b7-xsa12">https://doi.org/10.48436/hq7b7-xsa12</a></li>
<li>Accessibility model results: <a href="https://doi.org/10.48436/k1ce7-hrt53">https://doi.org/10.48436/k1ce7-hrt53</a></li>
</ul>
<h3>Technical details</h3>
<p>The dataset contains two Microsoft Excel files (one for Mühlwald, one for Sooß) containing multiple data sheets. In order to ensure data protection the stakeholder names have been deleted from the dataset. Other than Microsoft Excel, there is no additional software needed to investigate the data.</p>
Vienna Terrestrial Reference Frame S/X 2020 for VLBI scale study
No full text<h2>Description</h2>
<p>The dataset contains two terrestrial reference frames, S0 and S1, determined from Very Long Baseline Interferometry (VLBI) observations analysed by the Vienna International VLBI Service for Geodesy and Astrometry (IVS) Analysis Center (VIE). </p>
<h3>Context and methodology</h3>
<ul>
<li>S0: 1980.0-2021.0, S/X VLBI sessions with more than 3 stations</li>
<li>S1: 1980.0-2021.0, S/X VLBI sessions with more than 3 stations + additional discontinuity breaks for NYALES20 due to PDIM, GIA</li>
<li>These terrestrial reference frames were used to calculate session-wise estimated VLBI scale factors to analyse the impact of a modfied station movement model for the VLBI station NYALES20 (Norway, Svalbard) on the VLBI scale. Thus, additional discontinuity intervals have been introduced in the determination of S1 to more accurately account for the climate change-related processes happening in Svalbard. </li>
<li>The two reference frames were computed using VieCompy (<a href="https://repositum.tuwien.at/handle/20.500.12708/191094" target="_blank" rel="noopener">Kern et al. 2023</a>), a combination software under the umbrella of VieVS (Vienna VLBI and Satellite Software; <a href="https://iopscience.iop.org/article/10.1088/1538-3873/aaa22b" target="_blank" rel="noopener">Böhm et al. 2018</a>) written in Python. </li>
<li>The corresponding publication with the title <em><strong>Terrestrial Reference Frame Scale Drift Anomalies in VLBI and the Contribution of Ny-Ålesund Radio Telescopes </strong></em>has been submitted to the Earth, Planets and Space Journal. </li>
</ul>
<h3>Technical details</h3>
<ul>
<li>The dataset contains the position and velocities of 82 VLBI stations and considers the discontinuities in station position of 19 (S0)/20 (S1) stations. </li>
</ul>
Real-World Test Model for Escape Route Analysis in IFC format
No full text<h2>Description</h2>
<p>The published data is a digital building model (BIM model) in the IFC format (Industry Foundation Classes).<br>The IFC model represents a real-world test model (in Vienna). It was created by researchers from the TU Wien Research Unit Digital Building Process.</p>
<h3>Context and methodology</h3>
<ul>
<li>The IFC model was originally created as test model to validate the automated checking system of Vienna's BIM-based building permission process.</li>
<li>This version of the IFC model serves to validate the newly developed Escape Route Analysis of the checking system. Thus, the model only contains standard IFC properties and escape route specific properties. Other building code specific properties are not included.</li>
<li>The research team used the 2D plans of a previously submitted and approved project as the information basis for creating the BIM model.</li>
<li>The model was created with the modeling software Archicad 26 and was exported to IFC4 (Reference View).</li>
</ul>
<h3>Technical details</h3>
<ul>
<li>The dataset includes one BIM model in the IFC format (.ifc).</li>
<li>It can be used in any software that supports the IFC format.</li>
</ul>
<h3>Version update</h3>
<p>The updated version includes new properties required to check the fire resistance of elements in general and along escape routes. Property sets have been renamed and German terms have been translated into English.</p>
Literature search survey with 26 European students
No full text<p>This survey was conducted during an EULisT [1] workshop about literature search with 25 bachelor and mater students + 1 postdoc coming from 10 European universities. They were asked about their literature search practices. The survey results do not include any personal information. </p>
<p> </p>
<p>[1] https://eulist.university</p>
Research data for "Trapping crystallinity in highly crosslinked thermosets by light-based 3D printing from the liquid crystalline phase"
No full text<h3>Context</h3>
<p>This dataset was created from original work conducted in the framework of a PhD project and compiled in a publication (referenced in the Related Works section). It provides the raw data of results presented and discussed therein.</p>
<h3>Technical details</h3>
<p>Microsoft Excel file 'Raw Data': <br>Tab 1: Raw data obtained for differential scanning calorimetry (DSC) of bulk cured polymer samples<br>Tab 2: Raw data obtained for dynamic mechanical analysis (DMA) of bulk cured polymer samples<br>Tab 3: Raw data obtained for tensile tests of bulk cured polymer samples<br>Tab 4: Infrared-Spectroscopy of bulk cured polymer samples<br>Tab 5: Force-distance curves from atomic force microscopy measurements of bulk cured polymer samples<br>Tab 6: X-Ray diffraction data of monomer LCM in capillary</p>
<p>'LCM.mzdata.xml' file: <br>Measurement data of high resolution mass spectroscopy of the monomer LCM, which is reported for the first time in this original work.</p>
<p>NMR zip file: <br>'Compound 1', 'Compound 2' and 'LCM' folders: <br>NMR data obtained during all synthesis steps of the liquid crystallin monomer LCM. See Supplementary Information Chapter 3.1 for structures. <br>'Compound 3' and 'CHTT' folders: <br>NMR data obtained during all synthesis steps of trithiol monomer CHTT. See Supplementary Information Chapter 3.2 for structures.</p>
<p>Compound descriptions in the files included herein adhere to the naming in the related publication referenced in the Related Works section, where all compounds are described in detail and drawn as structural formulas. In brief:<br><span>ene-compound: LCM: p-[p-(5-hexenyl)benzoyloxy]phenyl p-(5-hexenyl)benzoate </span> <br>thiols:<br>ETTMP: <span>Ethoxylated trimethylolpropan tri-3-mercaptopropionate</span><br>TEMPIC: <span>tris[(3-mercaptopropionyloxy)-ethyl]-isocyanurate </span><br>TMPMP: <span>trimethylolpropane tris(3-mercaptopropionate</span>)<br>CHTT: <span>1,2,4-cyclohexanetriethanethiol </span></p>
<p><span>All bulk-cured samples and 3D printed samples consist of stoichiometric equivalents of ene and thiol cured with <span>0.5 mol% (based on terminal double bonds) of photoinitiator <span>(2,4,6-trimethylbenzoyl)-phosphine oxide </span>(TPO). 0.5 wt% pyrogallol were utilized as inhibitor.</span></span></p>