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No full text<p>This data provides an overview of the average housing costs for primary rental properties for the years 2004 till 2024. The costs are given as an average per apartment and per square meter. Only rental apartments are considered which were built after 2001. A distinction is made between municipal housing, housing provided by non-profit building associations, and housing by commercial developers. This data is limited to the regions of Burgenland, Lower Austria and Vienna, as well as the Austrian average.</p>
<p><strong>Reference:</strong> The data originates from the microzensus survey which is done regularly by Statistik Austria. As this specific data wasn't published and isn't accessable via STATcube, a special evaluation was done by Statistik Austria.</p>
EOSC Support Office Austria
No full text<p>This poster was displayed at the "Symposium Cluster Forschungsdaten" (<a href="https://forschungsdaten.at/proceedings-expo-2025/" target="_blank" rel="noopener">https://forschungsdaten.at/proceedings-expo-2025/</a> & <a href="https://forschungsdaten.at/poster-expo-2025/" target="_blank" rel="noopener">https://forschungsdaten.at/poster-expo-2025/</a>) on 16th January 2025. It briefly describes the EOSC Support Office Austria's (EOSC SOA) vision and gives an overview on who the EOSC SOA is, what it offers, its goals & results and its partners.</p>
Test Case Results from "A Spline-Based Stress Function Approach for the Principle of Minimum Complementary Energy"
No full text<blockquote>
<p><strong>Note: A new version of this dataset is available.</strong><br>The updated dataset includes additional results as requested during peer review.</p>
</blockquote>
<p>This dataset contains the test case results from the publication "A Spline-Based Stress Function Approach for the Principle of Minimum Complementary Energy".</p>
<h2>Context and methodology</h2>
<p>The dataset was created within the context of computational mechanics, specifically in the field of solution techniques for elasticity problems. It is associated with the research presented in the publication <em>"A Spline-Based Stress Function Approach for the Principle of Minimum Complementary Energy."</em></p>
<p>The dataset serves to document the numerical test cases presented in the publication. It provides the stress results obtained through numerical simulations using the proposed spline-based stress function method, supporting comparisons with analytical solutions and the displacement-based finite element method (FEM). These results are used to assess the accuracy and efficiency of the proposed approach.</p>
<h2>Technical details</h2>
<h3><strong>Structure of the dataset</strong></h3>
<p>The dataset is organized according to the three test cases presented in the publication:</p>
<ol>
<li>Bending of a Beam by Uniform Transverse Loading</li>
<li>Bi-Layer Cantilever with Anisotropic Material Behavior</li>
<li>Parabolic-Shaped Cantilever</li>
</ol>
<p> Each test case has its own top-level folder. Within each of these folders, there are two subfolders:</p>
<ul>
<li>
<p>A <code>stress_components</code> folder containing the computed stress results.</p>
</li>
<li>
<p>A <code>comparison</code> folder containing data used for comparison with a reference method.</p>
</li>
</ul>
<p>All numerical data is stored in CSV format.</p>
<h3>Naming convention</h3>
<p>The top-level folder names follow the corresponding test case names. The file names reflect the data stored (e.g., <code>stress_xx.csv</code> for the xx component of the stress tensor, or <code>stress_components_x_1.5.csv</code> for the comparison of the stress components at x=1.5m).</p>
<h3>Additional resources</h3>
<p>The dataset additionally includes Python scripts and TikZ <code>.tex</code> files for generating the figures used in the publication, along with the corresponding image files.</p>
<h3>Required software</h3>
<p>To generate these visualizations, you either need:</p>
<ul>
<li>pdfTeX (1.40.27) to compile the provided <code>.tex</code> files using the <code>standalone</code> document class, including the used packages:
<ul>
<li>amsmath (2024-11-01a), pgfplots (1.18.1), siunitx (3.4.6)</li>
</ul>
</li>
<li>Python (3.13.5) to run the accompanying plotting scripts, including the used packages:
<ul>
<li>matplotlib (3.10.3), numpy (2.3.1), pandas (2.3.0)</li>
</ul>
</li>
</ul>
<p>See also the <code>requirements.txt</code> file.</p>
<h2>Licenses</h2>
<ul>
<li>Data is licensed under Creative Commons Attribution 4.0 International.</li>
<li>Software is licensed under the MIT License.</li>
</ul>
<p> </p>
MedAID-ML: A Multilingual Dataset of Biomedical Texts for Detecting AI-Generated Content
No full text<h1>Dataset for MedAID-ML: A Multilingual Dataset of Biomedical Texts for Detecting AI-Generated Content</h1>
<p>This dataset was created by gathering human-authored corpora from several public health sites and generating additional data via three different LLMs: GPT-4o, Mistral-7B and Llama3-1. We included texts in English, Spanish, German and French data from the biomedical domain. The current version gathers 50% AI-generated and 50% human-written texts.</p>
<p>The following are the data we used:</p>
<ul>
<li><strong>Cochrane Library:</strong> This is a database of meta-analyses and systematic reviews of updated results of clinical studies. We used abstracts of systematic reviews in all four languages.</li>
<li><strong>European Clinical Trials (EUCT): </strong>This agency that supervises and evaluates pharmaceutical products of the European Union (EU). We downloaded parallel data from public assessment reports (EPARs) from 12 new medicinal products, and data from clinical trial protocols and eligibility criteria. We ensured the data were published only from January 2025 to date. The goal was gathering data that might not have been used to train the LLMs in our experiments.</li>
<li><strong>European Medicines Agency (EMA):</strong> This agency that supervises and evaluates pharmaceutical products of the European Union (EU). We downloaded parallel data from public assessment reports (EPARs) from 12 new medicinal products, and data from clinical trial protocols and eligibility criteria. We ensured the data were published only from January 2025 to date. The goal was gathering data that might not have been used to train the LLMs in our experiments.</li>
<li><strong>European Food Safety Authority (EFSA): </strong>This website provides a comprehensive range of data about food consumption and chemical/biological monitoring data. We chose only the topics we deem necessary for our goals, therefore including a total of 51 topics. Processing: we manually split articles with a wordcount of above 1350 and manually ensured their correctness and alignment in all languages.</li>
<li><strong>European Vaccination Information Portal (EVIP): </strong>it provides up-to-date information on vaccines and vaccination. The factsheets are available in all languages, and consist of 20 texts each.</li>
<li><strong>Immunize:</strong> Immunize.org (formerly known as the Immunization Action Coalition) is a U.S.-based organization dedicated to providing comprehensive immunization resources for healthcare professionals and the public. Vaccine Information Sheets (VISs) have been translated into several languages, but not all of them contain all VISs. They are given as PDFs, with 25 in Spanish, French and English, but only 21 in German. Only PDFs overlapping in all languages were used.</li>
<li><strong>Migration und Gesundheit - German Ministry of Health (BFG):</strong> This portal provides multilingual health information tailored for migrants and refugees. Gesundheit für alle is a PDF file that provides a guide to the German healthcare system, and it is available in Spanish, English and German. Processing: Two topics, which were shorter than 100 words, were merged with the next one to ensure that context is preserved.</li>
<li><strong>Orphadata (INSERM):</strong> a comprehensive knowledge base about rare diseases and orphan drugs, in re-usable and high-quality formats, released in 12 official EU languages. We gathered definitions, signs and symptoms and phenotypes about 4389 rare diseases in English, German, Spanish and French. Processing: Since each definition is roughly the same size and similar format, we simply group 5 definitions together to make the text per topic longer.</li>
<li><strong>PubMed (National Library of Medicine):</strong> we downloaded abstracts available in English, Spanish, French and German.</li>
<li><strong>Wikipedia: </strong>a free, web-based, collaborative multilingual encyclopedia project; we selected (bio)medical contents available in English, German, Spanish and French. To ensure that the texts were not automatically generated, we only use articles that date back to before the release of ChatGPT, i.e. before 30th November 2022. Processing: some data cleaning was necessary; we also removed all topics with less than 5 words, or split those with more than 9 sentences into equally long parts. From these split up files, we make sure that they contain a minimum of 100 words, and we take only those contents or topics that exist in all three languages.</li>
</ul>
<h3>Description of methods used for collection/generation of data</h3>
<p>The corpus statistics and methods are explained in the following article: Patrick Styll, Leonardo Campillos-Llanos, Jorge Fernández-García, Isabel Segura-Bedmar (2025) "MedAID-ML: A Multilingual Dataset of Biomedical Texts for Detecting AI-Generated Content".</p>
<h3>Methods for processing the data</h3>
<ul>
<li>Web-scraping of data from HTML content and PDF files available on the websites of the health contents.</li>
<li>Postprocessing and cleaning of data (e.g., removal of redundant white spaces or line breaks), and homogeneization of text length.</li>
<li>Generation of corresponding contents by means of generative AI using three large language models: GPT-4o, Mistral-7B and Llama3-1. - Formating of contents into JSON format.</li>
</ul>
<h3>Files</h3>
<p>JSON files:.These are separated in TRAIN and TEST. Each file has a list of hashes for each text, and each hash contains the following fields:</p>
<ul>
<li><strong>text: </strong>the textual content.</li>
<li><strong>data_source:</strong> the source repository of the text.</li>
<li><strong>filename:</strong> the name of the original file from which the data were sourced.</li>
<li><strong>source:</strong> label indicating if it is a human-written text (HUMAN) or the LLM used to generate the text ("gpt4o", "mistral" or "llama").</li>
<li><strong>language: </strong>The language code of the text: German ("de"), English ("en"), Spanish ("es") or French ("fr").</li>
<li><strong>target: </strong>a binary label to code if the text is written by humans ("0") or AI ("1").</li>
<li><strong>ratio: </strong>The proportion of the text that was created with AI: "0.5" for AI-generated texts, and "null" for human texts.</li>
</ul>
Machine-learning potentials for structurally and chemically complex MAB phases: strain hardening and ripplocation-mediated plasticity
No full text<p>The data coresponds to the publication <br><strong>Machine-learning potentials for structurally and chemically complex MAB phases: strain hardening and ripplocation-mediated plasticity</strong>, by <em>Nikola Koutná</em>, <em>Shuyao Lin</em>, <em>Lars Hultman</em>, <em>Davide G. Sangiovanni</em>, <em>Paul H. Mayrhofer</em><br>accessible at <a href="https://doi.org/10.1016/j.matdes.2025.114307">https://doi.org/10.1016/j.matdes.2025.114307</a></p>
<h3>Methodology</h3>
<ul>
<li>The methods used to produce the data are described in the publication</li>
</ul>
<h3>Contents</h3>
<ul>
<li>The zip file contains a README file and 3 folders with various text files:
<ul>
<li><strong>MABs_structures</strong>: relaxed structures in the VASP POSCAR format (<a href="https://www.vasp.at/wiki/index.php/POSCAR">https://www.vasp.at/wiki/index.php/POSCAR</a>)</li>
<li><strong>MLIPs</strong>: machine-learning interatomic potentials in the mlip-2 format (<a href="https://gitlab.com/ashapeev/mlip-2">https://gitlab.com/ashapeev/mlip-2</a>) and the corresponding training sets in the cfg format (compatible with the mlip-2 package)</li>
<li><strong>Raw_data_from_tables</strong>: calculated lattice parameters, elastic constants, and mechanical properties, as listed in Tab.1-3 in the publication (<a href="https://doi.org/10.1016/j.matdes.2025.114307">https://doi.org/10.1016/j.matdes.2025.114307</a>)</li>
</ul>
</li>
</ul><p>Though offering unprecedented pathways to molecular dynamics (MD) simulations of technologically-relevant materials and conditions, machine-learning interatomic potentials (MLIPs) are typically trained for “simple” materials and properties with minor size effects. Our study of MAB phases (MABs)—alternating transition metal boride (MB) and group A element layers—exemplifies that MLIPs for complex materials can be fitted and used in a high-throughput fashion: for predicting structural and mechanical properties across a large chemical/phase/temperature space. Considering group 4–6 transition metal based MABs, with A=Al<span><span></span></span> and the 222, 212, and 314 type phases, three MLIPs are trained and tested, including lattice and elastic constants calculations at temperatures T in {0,300,1200}<span><span></span></span> K, extrapolation grade and energy (force, stress) error analysis for~= 3×10^6<span><span></span></span> <em>ab initio</em> MD snapshots. Subsequently, nanoscale tensile tests serve to quantify upper limits of strength and toughness attainable in single-crystal MABs at 300 K as well as their temperature evolution. In-plane tensile deformation is characterised by relatively high strength, {110}〈001〉 type slipping, and failure by shear banding. The response to [001] loading is softer, triggers work hardening, and failure by kinking and layer delamination. Furthermore, W<sub>2</sub>AlB<sub>2</sub> able to retard fracture via ripplocations and twinning from 300 up to 1200 K.</p>
Survey of Green Platform Chemicals - Data surveyed via ECHA
No full text<h2>ECHA's data on Green Platform Chemicals</h2>
<p>The spreadsheet contains publicly available information on a list of so-called "platform chemicals" provided by ECHA's (European Chemicals Agency) public database. It can be used to get a quick overview of the substances identities, their registration status, potential hazards, ongoing and concluded regulatory processes under REACH and potential future categorizations.</p>
<h3>Context and methodology</h3>
<p>The data was surveyed in context of the master thesis "Survey of Green Platform Chemicals" and aims to identify these so-called platform chemicals as well as to give a preliminary evaluation of their hazards. The dataset serves as quick overview of potentially "green" platform chemicals as well as over publicly available information provided by ECHA.</p>
<p>The dataset was created by:</p>
<ul>
<li>Surveying scientific literature and searching for substances termed "platform chemicals", "platform molecules" and "building blocks" AND checking if the proposed substances had possible renewable production pathways.</li>
<li>The compiled list of chemicals was then surveyed using ECHA's online database.</li>
<li>The survey was performed in June 2024, the last access to ECHA's database was on 30.6.2024.</li>
</ul>
<h3>Technical details</h3>
<p>The structure of the spreadsheet is explained in detail in the README file.</p>
<p>The spreadsheet contains the following information of the surveyed platform chemicals:</p>
<ul>
<li>Substance identity</li>
<li>Harmonised and notified classifications</li>
<li>Registration Status</li>
<li>Entries in the Public Activity Tool (PACT)</li>
<li>Regulatory Obligations other than stated in REACH</li>
<li>Possible Categorization as SVHC (Substance of Very High Concern), MHC (Most Harmful Chemical) and SOC (Substance of Concern) based on their harmonised and notified classifications according to REACH Regulation (EC) No 1907/2006, the Ecosdesign for Sustainable Products Regulation EU 2024/1781 and the Chemical Strategy for Sustainability of the European Union.</li>
</ul>
<p>The data is saved as a .xlsx file the README as a .txt file.</p>
<h3>Further details</h3>
<p>The data used in this survey is made publicly available by ECHA based on the REACH Regulation (EC) No 1907/2006.</p>
<p>Information on PMT (persistent, mobile, toxic) and vPvM (very Persistent, very Mobile) properties of chemicals was taken from the report "Prioritised PMT/vPvM substances in the REACH registration database" from the German Environment Agency published in 2023 and available online at DOI:<a href="https://dx.doi.org/10.13140/RG.2.2.14914.15047" target="_blank" rel="noopener">10.13140/RG.2.2.14914.15047</a> or <a href="https://www.umweltbundesamt.de/publikationen/prioritised-pmtvpvm-substances-in-the-reach">https://www.umweltbundesamt.de/publikationen/prioritised-pmtvpvm-substances-in-the-reach</a> (Last Access 21.5.2025).</p>
<p> </p>
Data Stewards - What Austrian Universities look for?
Get PDF<p>Poster zu Data Stewards im Zuge der Expo 2025. </p>
Preservation of scalar spin chirality across a metallic spacer in synthetic antiferromagnets with chiral interlayer interactions: Support Data
No full text<h2>About the dataset</h2>
<p>This dataset supports a study investigating chiral spin textures in synthetic antiferromagnets (SAFs) mediated by interlayer Dzyaloshinskii-Moriya interaction (IL-DMI). Using a combination of X-ray resonant magnetic scattering (XRMS) and photoemission electron microscopy (PEEM), the work reveals how IL-DMI induces vector and scalar spin chirality across ferromagnetic layers with orthogonal magnetic anisotropies.</p>
<p>The dataset includes:</p>
<ul>
<li>
<p>Processed XRMS and PEEM data used to derive the key magnetic textures reported.</p>
</li>
<li>
<p>Scripts, in jupyter notebook format, for reproducing all figures from the associated publication.</p>
</li>
</ul>
<p>These resources are intended to support the continued exploration of IL-DMI-mediated interactions. For full details on dataset structure and usage, see the accompanying <code>README.txt</code>.</p>
<p>The published paper is available at: <a href="https://doi.org/10.48550/arXiv.2404.07637">https://doi.org/10.48550/arXiv.2404.07637</a>.</p>
<h2>Requirements</h2>
<p>The code was executed with Python 3.12, the dependencies are listed in <code>requirements.txt</code>.</p>
<h2>Licenses</h2>
<p>The data is licensed under CC-BY-4.0, the software is licensed under the MIT license.</p>
Palatial Architecture in Egypt and its Spacial Semiotics: Hyksos and Egyptian Palaces at Avaris/Tell el-Dab'a (FWF P 34601), Part 1
Get PDF<h2><strong><span lang="EN-GB">The Project</span></strong></h2>
<p><span lang="EN-GB">The aim of this project is to publish several palaces excavated by Manfred Bietak (Principal Investigator) in Tell el-Dab'a in the years 1979-2008. Tell el-Dab'a, located in the eastern delta of Egypt, was an important port city and a centre of foreign trade with the Levant as early as the 12<sup>th</sup> Dynasty. Of particular interest is the fact that the city was already inhabited by multi-ethnic population groups at the end of the Middle Kingdom, a large proportion of whom came from the Near East. There was therefore a mixture of ideas, concepts, and traditions at the site, which reveal both Egyptian and Near Eastern origins/influence.</span></p>
<p><span lang="EN-GB">After the collapse of the Egyptian state at the end of the Middle Kingdom, kings of Near Eastern descent gained control of the north of the country as the 14<sup>th</sup> dynasty. Later in the so-called 2<sup>nd</sup> Intermediate Period, the site became the capital of the so-called Hyksos, a dynasty of foreign sovereigns who ruled Egypt as the 15<sup>th</sup> dynasty from around 1640 to 1530 BC.</span></p>
<p><span lang="EN-GB">The project involves the investigation, publication, and reconstruction of three large palace complexes from different time periods.</span></p>
<p><strong><span lang="EN-GB">1.</span></strong><span lang="EN-GB"> A palatial mansion of the early 13<sup>th</sup> dynasty (Area F/I) with a ground area of 2500 m<sup>2</sup>. A Syrian ‘<em>Mittelsaalhaus</em>’ with an adjoining cemetery is of interest as a predecessor building. A necropolis was attached to the mansion in its south. According to the grave inventories, the occupants of the mansion were of Near Eastern origin. In terms of building history, an earlier (d/1.2) and a later construction phase (d/1.1) can be identified. In the early phase, the complex consisted of a main building with an entrance wing. The latter could be entered through a columned portico, which led to two symmetrically arranged, three-roomed residential units. A corridor on either side of the residential units led to a square vestibule, through which one entered the main building via a courtyard, which consisted of a reception room with four columns, a bedroom, and storerooms.</span></p>
<p><span lang="EN-GB">In the later phase, the entrance wing was completely redesigned. The vestibule and parts of the storerooms were demolished and replaced by a rectangular courtyard. On the south side of the courtyard, a portico was erected in front of the main building, which was then extended to form a portico on all sides. A square vestibule with two columns closed off the courtyard to the east.</span></p>
<p><span lang="EN-GB">At a later date, the erection of building next to the older one was started, but never completed. Also, the renovation of the older building came to an abrupt halt and the mansion was abandoned (researcher: Mario Martin).</span></p>
<p><strong><span lang="EN-GB">2</span></strong><span lang="EN-GB">. In Area F/II a palace from the 15<sup>th</sup> Dynasty was partly excavated, which was built above a burnt-down predecessor from the 14<sup>th</sup> Dynasty, to which it partly refers architecturally. The building was constructed in an agglutinating process. The complex, measuring approx. 112 x 95 m (10,600 m<sup>2</sup>), was built of mud bricks, some of which were reinforced with reed mats. Two construction phases (c/2 and c/1) can be identified, during which the palace was altered and partly rebuilt. In the earlier phase c/2, the palace extended over a larger area, with the magazine wing G and A with the throne room in front of A in use. Next to the throne room was the entrance gate leading into courtyard C, which was flanked by further rooms, at least to the north-east. Building S to the south of the palace was also in use at this time. Courtyard B with its stair tower extending to the south-west was built in phase c/1, as was the storage wing E in the north-east. Stair tower 1, located next to wing A, was probably also built at this time.</span></p>
<p><span lang="EN-GB">It is a Near Eastern type of palace with elements that have parallels in the region of the Middle Euphrates and Mesopotamia. Seal impressions of the Hyksos Khayan were found in the palace, but the palace appears to have existed both before and after this king. Sacrificial pits with relics of ritual meals, mainly pottery and animal bones, were found in one of the courtyards. A fragment of a cuneiform tablet came to light in a well dating to the later phase of the palace. This indicates that the Hyksos maintained extensive relations with Mesopotamia (researcher: Silvia Prell).</span></p>
<p><strong><span lang="EN-GB">3.</span></strong><span lang="EN-GB"> The largest palace complex is located in 'Ezbet Helmi, with an area of 5.5 ha. It dates back to the Tuthmosid period and was probably built under Tuthmosis III (ca. 1479-1425 BC). It consists of three palaces (area H/I-H/VI), whose architecture is heavily disturbed, which makes their reconstruction quite challenging. Two palaces were decorated with Minoan wall paintings depicting labyrinth patterns as well as scenes with lions, leopards, griffins and taureador- and hunting scenes. In addition to a large harbour basin, the palace district is a strong argument that the famous naval station of Tuthmosis III and Amenophis II 'Perunefer' - 'Happy Exit' - was once located at Tell el-Dab'a (researchers: Julian Posch, Szymon Popławski).</span></p>
<p><span lang="EN-GB">Please contact </span><span lang="EN-GB">the copyright holder</span></p>
<p><a href="mailto:[email protected]"><span lang="EN-GB">[email protected]</span></a></p>
<p><span lang="EN-GB">for further questions.</span></p>
Data repository for the manuscript "Analytical expression for π-ton vertex contributions to the optical conductivity"
No full text<p>This repository contains the data behind the plots of the manuscript</p>
<p> Analytical expression for π-ton vertex contributions to the optical conductivity</p>
<p> https://arxiv.org/abs/2409.11158 to appear in SciPos.</p>
<p> We derive the analytical expression for these pi-ton vertex corrections to the optical conductivity, partially requiring a numerical integration.</p>
<p>The repository contains the data behind the figures of the manuscript.</p>