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Numerical data for "Fragility of the magnetic order in the prototypical altermagnet RuO2"
No full text<p>This dataset contains the numerical data accompanying the "Fragility of the magnetic order in the prototypical altermagnet RuO2" <a href="https://doi.org/10.1103/PhysRevB.109.134424">paper.</a><br>Computations were performed using <a href="https://www.vasp.at">VASP</a> 6.3.2 and <a href="http://www.wien2k.at">WIEN2k</a> 21.1 packages.<br><br>It contains the data and gnuplot scripts used to plot Figures 2-6, i.e the dependence of the total energy and local magnetization at the Ru site as a function of the effective Hubbard U parameter for RuO2, the magnetic anisotropy as a function of angle, projected non-magnetic density of states onto Ru d-orbitals, spin-polarized total density of states for majority spin as a function of the effective U parameter and the dependence of local atomic magnetization on hole doping and the effective U parameter.<br><br>To produce the figure one simply runs <code>gnuplot script.gnu</code> command with <code>script.gnu</code> a placeholder for a relevant script name.<br>In the case of VASP computations, the total energy is reported in <code>OUTCAR</code> file at the line containing the <code>free energy TOTEN =</code> token, the local magnetization in the block after the <code>magnetization</code> token, the effective U parameter is <code>Ueff = U - J</code>, where U and J are defined by <code>LDAUU</code> and <code>LDAUJ</code> tokens in the <code>INCAR</code> file and the hole doping is defined by altering the number of electrons in the system using <code>NELECT</code> token in the <code>INCAR</code> file.</p>
<p>The density of states is calculated using WIEN2k and is stored in <code>case.dos?ev*</code> files with <code>case</code> being a filename, <code>?</code> be replaced with a number and <code>*</code> be either empty, <code>up</code> or <code>dn</code>.<br><br>In Fig. 2 in order to make the plot visually clearer, we subtracted from <em>both</em> energy relations an arbitrary linear function of U; the exact values of a and b here are completely immaterial and we could have chosen other similar values. In LDA+U calculation, one cannot compare total energies (as opposed to the total moments) with differen Us, only different calculations with the same U. The message of Fig. 2 was to compare energies <em>with the same U</em> between magnetic and nonmagnetic LDA+U solutions.</p>
<p>The following POTCARs were used for VASP calculations:<br><code>md5sum name and location</code><br><code>91f4c7aab413b97880dee28c8d363ff5 potpaw_PBE.52/Ru_sv/POTCAR</code><br><code>38ce74bba1194bccd788f22d688bfc65 potpaw_PBE.52/O/POTCAR</code></p>
<p>The directory structure is as follows:</p>
<ul>
<li><code>DOS</code> contains the data related to the density of states, as plotted in Fig. 4 (the <code>NM_PDOS</code> subdirectory) and Fig. 5 (the <code>DOS_U</code> subdirectory with <code>GGA_XY</code> directories corresponding to the value of <code>Ueff</code> equal to X.Y eV) </li>
<li><code>Magnetic_anisotropy</code> contains the data for Fig. 3 with the dependence of the total energy on the orientation of the local magnetic moment</li>
<li><code>MM_vs_U_eff_vs_NELEC</code> contains the data relevant for Fig. 6: subdirectories <code>N=XX.X0U=Y.Y</code> correspond to the calculation with <code>XX.X</code> electrons and <code>Ueff</code> equal to Y.Y eV</li>
<li><code>Total_energy_and_magnetization_vs_U_eff</code> provides the data behind Fig. 2, with <code>Increasing_U_eff</code> and <code>Decreasing_U_eff</code> containing the series calculations of increasing and decreasing <code>Ueff</code> value with subdirectories <code>dn_UX.XX</code> with the value of <code>Ueff</code> being set to X.XX eV</li>
<li><code>RuO2.vasp</code> is the used crystal structure in the POSCAR format</li>
</ul>
Products and Metadata of IAG Services - Overview
No full text<h2>Products and Metadata of IAG Services</h2><p>This Excel document provides an overview of products and metadata of Services of the International Association of Geodesy (IAG). It has been developed as part of the bachelor thesis by Lena Steiner on the feasibility of a GGOS Portal. GGOS is the Global Geodetic Observing System of the IAG.</p>
Numerical results for "Highly nonperturbative nature of the Mott metal-insulator transition: Two-particle vertex divergences in the coexistence region"
No full text<p>This data repository contains the original figures, numerical (raw) data, and plot scripts to reproduce the figures from the publication "Highly nonperturbative nature of the Mott metal-insulator transition: Two-particle vertex divergences in the coexistence region" at <a href="https://doi.org/10.1103/PhysRevB.108.155101">Physical Review B</a>.</p><p>The LaTeX source files of the preprint available on <a href="https://doi.org/10.48550/arXiv.2303.01914">arXiv</a> can be found at the TU <a href="https://gitlab.tuwien.ac.at/e138/e138-02/papers/highly-nonperturbative-nature-of-the-mott-metal-insulator-transition">gitlab</a>.</p><h3><strong>License</strong></h3><p>The CC-BY license applies to all the data. All distributed code is under the MIT license.</p>
arXiv-1612.07576: Excitonic magnetism in d6 perovskites
No full text<p>Data used for <a href="https://journals.aps.org/prb/abstract/10.1103/PhysRevB.95.115131">Phys. Rev. B 95, 115131 (2017)</a>.</p><p>Wien2k input and output data for various interaction parameters (U, J), phases and structures (experimental and ideal cubic perovskite). </p><p>DMFT calculations (w2dynamics) for ideal cubic structure - unpublished.</p>
CAD files (step-format) for inserts and stamps
No full text<p>CAD files for well plates used in high-content imaging-based phenotypic drug screening in zebrafish xenografts. Files are in STEP-format.</p>
SDOclust Evaluation Tests
No full text<h2>SDOclust Evaluation Tests</h2><p>conducted for the paper: <strong>SDOclust: Clustering with Sparse Data Observers</strong></p><h3>Context and methodology</h3><p>SDOclust is a clustering extension of the Sparse Data Observers (SDO) algorithm. SDOclust uses data observers as graph nodes and cluster them considering connected components and local thresholding. Observers' labels are subsequently propagated to data points. </p><p>In this repository, SDOclust is evaluated with 15 two-dimensional synthetic datasets, 138 multi-dimensional synthetic datasets, and 2 real-application datasets, and compared with HDBSCAN and k-means-- algorithms.</p><p>This repository is framed within the research on the following domains: <i>algorithm evaluation, clustering, unsupervised learning, machine learning, data mining, data analysis. </i>Datasets and algorithms can be used for experiment replication and for further clustering evaluation and comparison.<i> </i> </p><h3>Technical details</h3><p>Experiments are conducted in Python 3. The file and folder structure is as follows:</p><ul><li>[data2d] contains 15 two-dimensional datasets as CSV files (last column is the label).</li><li>[dataMd] contains 138 multi-dimensional datasets as CSV files (last column is the label).</li><li>[dataReal] contains 2 real/application datases as CSV files (last column is the label).</li><li>[plots] contains plots (.png, .pdf) with results generated by <i>test</i> scripts.</li><li>[tables] contains tables (.csv, .tex) with results generated by <i>test</i> scripts.</li><li>[cddiag] contain scripts for generating critical difference diagrams with Wilcoxon signed rank tests and plots from conducted tests.</li><li>"dependencies.py" installs required python packages.</li><li>"tests_2d.py" runs 2d experiments.</li><li>"tests_Md.py" runs multi-dimensional experiments.</li><li>"test_mawi.py" runs experiments with real network traffic data from MAWI captures.</li><li>"test_sirena.py" runs experiments with real electricity consumption data from the Sirena project.</li><li>"sdo.py" implements sdoclust functions.</li><li>"pamse2d.py" runs sensitivity analysis on SDOclust parameters.</li><li>"update_test.py" shows an example of SDOclust working in update modus,</li><li>"gbc.py" contains functions for the graph-based clustering implementation (based on <i>https://github.com/dayyass/graph-based-clustering</i>).</li><li>"kmeansmm.py" is the k-means-- implementation (based on <i>https://github.com/Strizzo/kmeans--</i>).</li><li>"LICENSE" file.</li><li>"README.md" for further details, link to sources and instructions for reproducibility.</li></ul><h3>License</h3><p>The CC-BY license applies to all data generated with MDCgen. All distributed code is under the GNU GPL license.</p><h3> </h3>
Supplementary material to "Fine micro- and nanoplastics concentrations in particulate matter samples from the high alpine site Sonnblick, Austria"
No full text<p>This dataset contains supplementary material to "Fine micro- and nanoplastics concentrations in particulate matter samples from the high alpine site Sonnblick, Austria" (<a href="https://doi.org/10.1016/j.chemosphere.2024.141410">https://doi.org/10.1016/j.chemosphere.2024.141410</a>). It includes results of triplicate analyses of plastics in particulate matter samples as well as data to reproduce Figure 1 (concentration of plastics on weekly filters) and Figure 2 (average contribution of main plastic types to plastics mass).</p><h3>Context and methodology</h3><ul><li>Particulate matter samples of two size fractions were analysed via TD-PTR-MS and six types of plastics (PET, PE, PP/PPC, PS, PVC, Tire wear) were determined using a fingerprinting algorithm.</li><li>The evaluation of the results is described in the corresponding paper (<a href="https://doi.org/10.1016/j.chemosphere.2024.141410">https://doi.org/10.1016/j.chemosphere.2024.141410</a>).</li></ul><h3>Technical details</h3><ul><li>A description of the dataset is given in the file "Readme.pdf".</li><li>The Excel-file "Data_Plastics.xlsx" contains the data derived from the fingerprinting and the conversion to atmospheric concentrations. The data is presented in multiple data sheets, described in detail in the Readme-file.</li></ul>
3D Reconstruction Model of the Former Synagogue in the Holzmeistergasse 12, Vienna (1875–1877 | Architect: Andreas Streit)
No full text<p>This record contains model data originally created in the framework of the masters' thesis of Friedrich Schmidt at TU Wien (2008).</p><p>Facts: Synagogue of the Israelitische Kultusgemeinde Wien (Jewish Community Vienna) | Erected 1875–1877; foundation stone laid on October 13, 1875 | Architect: Andreas Streit (with Johannes Schäffer) | Capacity: seating for 234 on the ground floor, 156 on the gallery; extended in 1905 by the addition of a winter prayer hall | Appearance: triple-aisled building with women's galleries, tall façade windows decorated with column capitals</p><p>See also:</p><p>* City Guide --> https://www.lit-verlag.de/isbn/978-3-643-90170-5</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>
Hydro-sedimentary processes of a plunging hyperpycnal river plume revealed by synchronized remote imagery and gridded current measurements - supporting data and scripts
No full text<h2>Dataset description</h2><p>Raw and treated data reported in the paper "Hydro-sedimentary processes of a plunging hyperpycnal river plume revealed by synchronized remote imagery and gridded current measurements" can be downloaded here for validation and further analysis. The scripts used to open, treat and visualize the data are included, as well as the figures included in the paper and the underlying data. The structure and contents of the folders are described in the README file. In order to run the scripts (.m) and open some of the treated data (.mat) successfully, the MATLAB software package is necessary. The MATLAB scripts are based on and include scripts from the adcptools software package (Bart Vermeulen, 2015; Vermeulen et al., 2014; https://sourceforge.net/projects/adcptools/).</p><p>All data are protected under the Creative Commons Attribution 4.0 International license. All scripts are protected under the GNU General Public License v3.0 (or later).</p>
set of plans and sections of Karlskirche, Vienna Austria
No full text<p>plans scale 1:100 based on various digital models from Karlskirche, Vienna Austria; primary source laserscan Riegl & TU Wien supplemented with 3D mesh model Meixner ZT GmbH; </p>
<p>please contact <strong>[email protected]</strong> for access</p><p>base material pointcloud octree filtered 0.01m; drawn in Rhino 3D (version7); post-editing in Adobe Illustrator; Ortho-images of elevations and floors from Riegl RiScan; shadows renderend with Vray witin Rhino 3D</p><p>converted to pdf/A</p>