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Specific heat data for the publication "Neutron scattering and thermodynamic evidence for emergent photons and fractionalization in a pyrochlore spin ice"
No full text<h3>Context and methodology</h3>
<ul>
<li>This repository contains the low-temperature specific heat data behind Figure 5 in the publication "Neutron scattering and thermodynamic evidence for emergent photons and fractionalization in a pyrochlore spin ice" (<a href="https://doi.org/10.1038/s41567-025-02922-9">10.1038/s41567-025-02922-9</a>).</li>
<li>The publication presents and discusses polarized neutron scattering experiments and heat capacity measurements on single crystals of the Ce<sub>2</sub>Zr<sub>2</sub>O<sub>7</sub> pyrochlore, and compares the results with theoretical calculations.</li>
<li>This dataset was created manually by collecting and ordering the relevant data.</li>
</ul>
<h3>Technical details</h3>
<ul>
<li>Data files are of type DAT (text files) and named logically after the figure they correspond to. </li>
<li>The dataset does not require any specific software for reading.</li>
</ul>
<h3>Description of the data</h3>
<ul>
<li><strong>fig5.dat</strong> contains the specific heat ("C") of Ce<sub>2</sub>Zr<sub>2</sub>O<sub>7 </sub>with an error bar ("C_error") as a function of temperature ("T") with an error bar ("T_error") together with a fit ("T^3 fit") corresponding to a cubic-in-temperature specific heat.</li>
</ul>
Data supporting: Thin concrete-timber-composite floors reinforced with basalt textile
Full text link<p>Full dataset behind the paper <em>Thin concrete-timber-composite floors reinforced with basalt textile</em> (DOI: <a href="https://doi.org/10.2749/tokyo.2025.3115" target="_blank" rel="noopener">10.2749/tokyo.2025.3115</a>)</p>
<h3>Technical Details</h3>
<p>Refer to <code>ReadMe.txt</code></p><p>Adding a reinforced concrete layer on top of timber floors, such as dowel beam ceilings (DBC), is a well-established method in retrofitting old buildings. However, the concrete layer thickness of 5- 7cm, which is driven by durability rather than strength requirements, comes with additional weight that typically implies supporting and strengthening measures of the existing structure. In this work, we investigate thin basalt textile-reinforced concrete (TRC) layers on top of a DBC to reduce the concrete mass and overall system height. This includes experimental investigations on two large scale timber concrete composite floors with 4.7 m length: (a) ordinary DBC-Steel reinforced concrete (RC) composite floor with a standard thickness of the concrete layer (7cm) and (b) DBC- TRC composite floor with a slender basalt textile reinforced concrete layer (3cm). Test results indicate that the slender DBC-TRC floor exhibits larger deflections by 60 % while having 80 % of the load bearing capacity of conventional DBC-RC floors. Still, in both cases, the serviceability and ultimate limit state requirements are fulfilled, making the TRC system a viable solution for real applications with its substantially lower weight.</p>
Cloud4GEO - Eine Gemeinschaftliche Cloud Infrastruktur für Geowissenschaftliche Daten und Services
Full text link<p>Dieses Poster beschreibt den Aufbau und die Ziele einer gemeinschaftlichen Cloud Infrastruktur für Anwendungen der Erdbeobachtungen und Klimawissenschaften in Österreich.</p>
Wigner Transport Dynamics of Spatial Electron Entanglement (FWF Project P 37080-N)
No full text<h2>Wigner Transport Dynamics of Spatial Electron Entanglement</h2>
<p>This dataset was produced at the Institute for Microelectronics, TU Wien, with funding from the Austrian Science Fund FWF. It contains the research data and meta data used to generate the figures in the linked journal article.</p>
<h3>Context and methodology</h3>
<ul>
<li>The dataset was created in the course of FWF project P37080-N.</li>
<li>The dataset contains supplementary data to the publication listed below.</li>
<li>Data are the result of numerical simulations based on the Wigner equation.</li>
</ul>
<h3>Technical details</h3>
<ul>
<li>A README file contains information about the actual publication and how to interpret the data.</li>
<li>The data is given in human-readable CSV format.</li>
</ul><p>A novel two-particle Monte Carlo (MC) transport model has been developed and applied to determine the energy distribution function (EDF) in a MOSFET. A dedicated statistical enhancement algorithm enhances the number of samples at higher energies. A comparison with the well-established one-particle MC method and a related enhancement method is presented.</p>
Virtuelle Forschungsumgebung anhand des Beispiels CyVerse Austria
Full text link<p>Präsentation des Impulsvortrags zu CyVerse Austria im Zuge der Expo 2025.</p>
DBRepo: A Data Repository System for Research Data in Databases
Full text link<p>We present DBRepo, an open-source database repository infrastructure for research data with machine-actionable interfaces (HTTP, AMQP, MQTT) for efficient reuse of data in services (i.e. Grafana, Jupyterhub).</p>
Figure data for Publication Trenzinger et al. in Lab Chip 2024
No full text<h2>Description of dataset</h2>
<p>This dataset includes all necessary information to reproduce the figures from the publication "<strong>Microdevice for confinement of T-cells on functionalized bio-interface</strong>".</p>
<div>DOI: <a title="Link to landing page via DOI" href="https://doi.org/10.1039/D5LC00248F">https://doi.org/10.1039/D5LC00248F</a></div>
<h3>Article: Microdevice for confinement of T-cells on functionalized bio-interfaces</h3>
<h3>Authors</h3>
<div><a href="https://pubs.rsc.org/en/results?searchtext=Author%3AChristoph%20Trenzinger">Christoph Trenzinger</a>,*<sup><em>a</em></sup> <a href="https://pubs.rsc.org/en/results?searchtext=Author%3ACaroline%20Kopittke">Caroline Kopittke</a>,<sup><em>a</em></sup> <a href="https://pubs.rsc.org/en/results?searchtext=Author%3ABarbora%20Kalouskov%C3%A1">Barbora Kalousková</a>,<sup><em>a</em></sup> <a href="https://pubs.rsc.org/en/results?searchtext=Author%3ANemanja%20%C5%A0ikani%C4%87">Nemanja Šikanić</a>,<sup><em>a</em></sup> <a href="https://pubs.rsc.org/en/results?searchtext=Author%3AMarina%20Bishara">Marina Bishara</a>,<sup><em>a</em></sup> <a href="https://pubs.rsc.org/en/results?searchtext=Author%3AGerhard%20J.%20Sch%C3%BCtz">Gerhard J. Schütz</a><sup><em>a</em></sup> and <a href="https://pubs.rsc.org/en/results?searchtext=Author%3AMario%20Brameshuber">Mario Brameshuber</a>*<sup><em>a</em></sup></div>
<div>
<div>
<div>
<p>* Corresponding authors<br><sup>a</sup> Institute of Applied Physics, TU Wien, Wiedner Hauptstraße 8-10, 1040 Vienna, Austria</p>
<h3>Contact</h3>
<p><strong>E-mail:</strong> <a title="[email protected]" href="mailto:[email protected]">[email protected]</a>, <a title="[email protected]" href="mailto:[email protected]">[email protected]</a></p>
<h2>Technical details</h2>
<h3>Reproduction of the figures</h3>
<ul>
<li><strong>Python</strong>: for all figures generated with Python, the corresponding Jupyter Notebook file is provided. The <code>_readme.txt</code> contains information about the files in the corresponding folder, <code>requirements.txt</code> contains information about the Python version and dependencies.</li>
<li><strong>Matlab</strong>: the scripts to analyse data and to generate figures is provided in the corresponding folders. notes.txt files contain remarks for the analysis. All numerical data for analysis with Matlab is provided in CSV format.</li>
</ul>
<h3>Required Software</h3>
<ul>
<li>Matlab (Mathworks), tested with version 2019b</li>
<li>Cellprofiler (4.2.1), <a href="https://cellprofiler.org" target="_blank" rel="noopener">https://cellprofiler.org</a></li>
<li>Python (version 3.10), depencies are listed in the file <code>requirements.txt</code></li>
</ul>
<h3>Licenses</h3>
<p><em>Data is licensed under the <strong>Creative Commons Attribution 4.0 International</strong><br></em><em>Software is licensed under the <strong>MIT license</strong></em></p>
<h3>Further notes</h3>
<p>The <code>.cpproj</code> files are CellProfilerProject files, containing data in HDF5 format.<br>The <code>.czi</code> files are Carl Zeiss Imaging formats, and can be read e.g.with the <a href="https://www.openmicroscopy.org/bio-formats/">bio-formats</a> plugin for <a href="https://imagej.net/software/fiji/">ImageJ/Fiji</a>.</p>
</div>
</div>
</div><p>Mechanical stimuli are an integral part of the natural cellular microenvironment, influencing cell growth, differentiation, and survival, particularly in mechanically challenging environments like tumors. These stimuli are also crucial in the T-cell microenvironment, where they play a role in antigen recognition and pathogen detection. To study T-cell mechanobiology effectively, <em>in vitro</em> methods must replicate these mechanical stimuli induced by compression, tension or shear flow, in the presence of antigen-presenting cells (APCs). While custom-made microdevices and microfluidic chips have successfully observed bulk cell behavior under mechanical strain, no existing device fully replicated the T-cell mechanoenvironment comprehensively. In this study, we developed a microdevice that integrates the mechanoenvironmental aspects of an APC mimicry with compression under live-cell imaging conditions. This device allows for precise confinement of cells between two glass surfaces, which can be individually coated with functional bio-interfaces. The microdevice is reusable and enables presetting of confinement heights, manual seeding of cells and the assembly of components directly at the microscope. To validate our microdevice we confined primary mouse T-cells on different APC-mimicking supported lipid bilayers while monitoring their morphology and migratory behaviour over time. To study the effect of confinement on TCR signalling, we tracked intracellular calcium levels and quantified Erk1/2 phosphorylation by immunostaining. We observed that T-cell morphology and motility are affected by confinement but also by bilayer composition. Moreover our findings suggest that confinement, despite not interfering with T-cell activation, might increase TCR background signalling in resting T-cells. Importantly, our microdevice is not limited to T-cell research; it can also serve as a platform for studying mechanical stimulation in other cell types, cell aggregates like spheroids and organoids, or even tissue samples in the presence of various bio-interfaces.</p>
Imaging the extension of deep carbon stocks at the catchment-scale with complex electrical conductivity
No full text<p>This file contains the raw data presented in the paper:<br>"Imaging the extension of deep carbon stocks at the catchment-scale with complex electrical conductivity" submitted to GRL by <br>by Flores Orozco1, A., Gallistl, J., Gilfedder, B., Katona, T., Frei, S., Strauss, P., and Blöschl, G.</p>
<p>The file contains three subfolders:<br>SIP1 - refers to the multi-frequency complex conductivity data collected along the line SIP 1. The measurements were collected using 64 electrodes with 1 m spacing between them. Each file in the subfolder refers to the data at different frequencies, with the frequency indicated in the name of the file (in mili Hertz). The folder also contains a file with the coordinates of the electrodes.</p>
<p>E1 - refers to the complex conductivity data collected along the exploration line. The measurements were collected with 677 electrodes, and 1 m spacing. The file contains repeated quadrupoles corresponding to those readings with overlapping segments in the roll-along survey. </p>
<p>Lines E1 and SIP1 are perpendicular to each other, and measurements were collected with a DAS-1 instrument from MultiPhase Technologies. </p>
<p>M1 - contains the raw data of the 27 lines collected as part of the mapping survey. Measurements were collected with a syscal switch pro 72 from IRIS instruments. There are two files, one with the data and one for the coordinates of each profile. All measurements were collected in the time-domain, with a square wave using a pulse length of 500 ms, and sampling of the decay curve with 19 windows with 20 ms duration for each window and 20 ms waiting time between the current switch-off and the collection of the first window. The raw data contains readings of the chargeability (m) measured in each window and the duration. <br>In particular, the data comprises:<br>1) 5 long lines (Mapping_l1n to Mapping_l5n) roughly with an orientation SW-NE with 72 electrodes and 1 m spacing between electrodes and 5 m between lines. These lines are parallel to SIP1 line <br>2) 17 short lines in direction SW-NE (Mapping_s1n to Mapping_s17n) with 72 electrodes each and a spacing of 0.5 m between electrodes and lines. These lines are parallel with the SIP1<br>3) 5 lines with roughly a direction SE-NW (Mapping_p1 to Mapping_5p) with 72 electrodes each and a spacing of 1 m between electrodes and 5 between lines. </p>
<p>The measurements of a few reciprocal data are indicated with the "r" in the name of the file (for instance Mapping_l1r). Reciprocal measurements are the repetition of the normal measurements after interchanging the electrodes used for current and potential dipoles. These reciprocal measurements were collected for statistical analysis of the misfit between normal and reciprocal readings to quantify data-error. </p>
<p> </p>
SPRAY – SPuttering simulation via RAYtracing of particles
No full text<h1>SPRAY – SPuttering simulation via RAYtracing of particles</h1>
<p>Python 3 Code for simulation of rough surface sputtering / ion reflection, using repository data from one-dimensional BCA simulations and microscopy image input Independent on lateral / vertical height of image or resolution (as long as enough RAM is provided). The working principle is described in greater detail in the supplementary material to the following publication:</p>
<p>C. Cupak, P.S. Szabo, H. Biber, R. Stadlmayr, C. Grave, M. Fellinger, J. Brötzner, R.A. Wilhelm, W. Möller, A. Mutzke, M.V. Moro, F. Aumayr, Sputter yields of rough surfaces: Importance of the mean surface inclination angle from nano- to microscopic rough regimes, Appl. Surf. Sci. 570 (2021) 151204. <a href="https://doi.org/10.1016/j.apsusc.2021.151204">https://doi.org/10.1016/j.apsusc.2021.151204</a>.</p>
<h2>Files contained:</h2>
<ul>
<li>SPRAY_V4_73.py – the main code; Run this to run the simulation</li>
<li>roughness2D.py – provides all necessary classes and methods </li>
<li>read_data.py – provides methods to read in the 1D BCA input data</li>
<li>Data.zip – example for 1D BCA data structure necessary to run SPRAY simulations. Should be extracted such that the directory "Data" is in the same directory as SPRAY_V4_73.py
<ul>
<li>Data/SDtrimSP_AngleEnergySweep.dat is a table of relevant sputter yields for all target species as a function of energy and incidence angle</li>
<li>Data/table1.txt gives data on atomic masses, etc.</li>
<li>Data/Atoms/ contains emission files for the sputtered recoils. Follow the naming convention: The integer in the file name gives the projectile incidence angle.</li>
<li>Data/Ions/ contains emission files for the reflected projectiles. Same naming convention as above</li>
</ul>
</li>
<li>README.md – a description of the code, the inputs and outputs; basically this description</li>
<li>SPRAY.inp – an exemplary input file containing all necessary input parameters</li>
</ul>
<p>The necessary inputs are described in greater detail below.</p>
<h2>System requirements:</h2>
<p>Tested and developed for usage under LINUX (Ubuntu 20.04.2 LTS and newer); For (old version) ready for Win10, contact the depositors.<br>Recommended PC specification: </p>
<ul>
<li>16GB RAM (for larger + high resoluted images, more is always better),</li>
<li>4 physical CPU Cores (the more you have, the faster it should work)</li>
<li>Some GB empty space on disk. For high statisical parameters for SPRAY simulation (pi, ns, ss), the emission list files can easily reach data volume in GB range</li>
</ul>
<h2>Required Python3.8 libraries:</h2>
<p>To be installed prior execution by pip install; the listed versions provided stable execution during benchmarking:</p>
<ul>
<li>numpy (1.20.2)</li>
<li>matplotlib (3.4.1)</li>
<li>psutil (5.8.0)</li>
<li>numpy-stl (2.16)</li>
<li>pandas (1.2.3)</li>
<li>vtk (9.0.1)</li>
<li>all other libraries should be available by default</li>
</ul>
<p>For convenience, a <code>requirements.txt</code> is provided; can be used with <code>pip install -r requirements.txt</code></p>
<h2>Necessary Input:</h2>
<h3>Input file "SPRAY.inp": </h3>
<p>General user input parameters need to be defined in the "SPRAY.inp" file</p>
<ul>
<li>number of primary ions <strong>pi</strong></li>
<li>number of sputtered atoms per primary ion <strong>ps</strong></li>
<li>number of secondary sputtered atoms <strong>ss</strong> (if ss larger than 0, also ri needs to be larger than 0)</li>
<li>number of CPU cores (or available virtual cores) used for this simulation <strong>np</strong></li>
<li>desired incidence angles for simulation <strong>(sa, ba, ia)</strong> = starting, last and increment step of angles</li>
<li>List of elements, starting with the ion species, for the composition of the target. Order should be consistent with order in provided repository data (see below). <strong>et</strong></li>
<li>declaration of path to repository data directory. if "loc" is listed, then the data repo needs to be locally in the same directory as SPRAY executable <strong>di</strong></li>
<li>a factor corresponding to the size of central irradiated area of the surface (0.8 = 80% recommended to prevent corner effects) <strong>as</strong></li>
<li>declaration of the surface input file type (either "xyz" or "stl" is supported) <strong>sf</strong></li>
<li>number of reflected ions per primary ion <strong>ri</strong></li>
<li>azimuthal angle mode <strong>aa</strong> (x, rand); x = classic from x axis, rand = random azimuthal impact </li>
<li>flag for display setting <strong>ds</strong>. Default option "no" (e.g., for headless computers without screen). "No" activates Xvfb environment to create a virtual desktop. </li>
</ul>
<h3>Microscopy images:</h3>
<p>A flexible number (at least one) of microscopy images can be provided:</p>
<ul>
<li>should be in form of a text file with .xyz file ending</li>
<li>Header lines needs to be marked with "#"</li>
<li>Take care: Greek letters or special characters like ä, ö, ü etc... may cause encoding troubles!</li>
<li>The shape of the data should be in 3 columns, representing the lateral x and y and vertical height z values</li>
<li>The unit should be in m, (will be converted to microns during SPRAY execution); </li>
<li>all 3 coordinates need to be in the same unit</li>
<li>ideally, the minimum surface height and xy coordinate is set to 0. </li>
<li>ATTENTION: Surface may not be properly hit by primary ions if the surface consists of a rather smooth, flat plane with some single spikes under grazing ion incidence! Especially important for AFM images with artifacts</li>
</ul>
<h3>STL file inputs:</h3>
<p>A flexible number (at least one) of .stl files can be provided:</p>
<ul>
<li>can be generated by any method, e.g., Solidworks,...</li>
<li>both surfaces, but also closed volumes should be supported</li>
<li>the units in the file should be in microns (principally the simulation is scale independent, but the print outputs are declared as microns)</li>
<li>the reference frame must be the following: lateral coordinates are x and y. Positive z values correspond to height value sthe ion beam (if ion incidence angle > 0°) comes from the positive x axis.</li>
<li>the lateral coordinates of the computational volume must start at x = y = 0, and should be strictly positive.</li>
<li>ideally, also the minimum z value should be 0</li>
</ul>
<h3><br>BCA simulation repositories: </h3>
<p>all stored in the folder Data</p>
<ul>
<li><strong>ATTENTION:</strong> <strong>This record contains just dummy data for illustration purposes</strong>, since this repository is usually large in volume (GB range). Moreover, a it has to be provided by the user for every target-projectile combination anyway.</li>
<li>Principally, any BCA code can be used for repository creation, but the shape of the data needs to be suitable</li>
<li>Sweep file (fine discretisation for 0-89° ion incidence and for 50eV - max. energy), which provides Sputter Yields and reflection coefficients for all target elements and reflection coefficients for the ions. Name = "*_AngleEnergySweep.dat" </li>
<li>Periodic table of elements (Name = "table1.txt"); necessary to load amu for given elemental species</li>
<li>Repository files including emission trajectories of both sputtered ions and reflected ions. These simulations need to be performed assuming a flat target of the same composition as also used for the Sputteryield Sweep file (see -> before). A set of simulations is required, where various ion incidence angles are used with relatively fine discretisation. It is important that the simulated angles range from 0 to 85 deg, 5deg increments. For repository simulations using Tri3dyn (2019-2020) or SDtrimSP (V6), useful python routines for data shaping are available by the authors. Ask the depositors if required.</li>
<li><strong>emission list files sputtered atoms</strong>: individual files with the trajectories of a single atom species of the target need to be provided (no mixed emission files) for each incidence angle simulated. Files need to be located in folder structure: Data/Atoms/angle/... (each inc. angle case is collected in a subfolder) coordinates in accordance to system of TRI3DYN. It is recommended to compare the shape of these files according to the provided dummy repository data: Data/Atoms/... principally columnar shape like: x,y,z (directional vector components, normalised)</li>
<li><strong>emission list files reflected ions</strong>: individual files with the trajectories of reflected ions need to be provided for each incidence angle simulated. files need to be located in folder structure: Data/Ions/... (each inc. angle case is collected in a file) coordinates in accordance to system of TRI3DYN. It is recommended to compare the shape of these files according to the provided dummy repository data: Data/Ions/... principally columnar shape like: Energy,x,y,z (directional vector components, normalised) for the reflected ions, also the kinetic energy after reflection needs to be considered, which influences secondary sputtering events.</li>
<li>It has to be noted that the sputteryields / reflection coefficients are taken from the Sweep Repository only. The emission list files are just the basis for the emission distribution utilised in SPRAY, while always a fixed and constant number of trajectories is taken as sample from these emission lists: (i.e.: ps = 100 virtually sputtered atoms for each primary ion impact, ss = 50 virtually secondary sputtered atoms for a reflected ion impact). Therefore, the length of the emission list files or their origin (BCA Code) must not directly be connected to the results of the Sweep Repository. However, a large number of emission trajectories in these files is beneficial to have a representative distribution at hand.</li>
</ul>
<h2>Output of simulations:</h2>
<ul>
<li>effective Sputter Yields</li>
<li>3D emission list files of successfully sputtered atoms and reflected ions (Attention, it's in TRI3DYN coordinates due to historic reasons!) Furthermore, only the azimuthal angle option "x" should be used, as otherwise the emission is a-priori equally distributed. The emission files, however, contain the relevant azimuthal angle in rad which was selected (0.0 for option x, otherwise between 0.0 to 2*pi), which you may use to back-shift those data.</li>
<li>global results file (all surfaces, simulated angles, simulated target elements)</li>
<li>in surface file specific subfolders: specific results (for all simulated incidence angles, elements...)</li>
<li>for each surface, a stl file for visualisation purposes is generated. Also necessary for raytracing</li>
<li>for each surface, a png image of the stl file is provided in the folder Surface_PNGs</li>
</ul>
<h2>Licenses</h2>
<p>The data is licensed under CC-BY, the code is licensed under MIT.</p>
Open Science Austria (OSA)
Full text link<p><span>Poster von Open Science Austria (OSA) anlässlich der EXPO 2025 an der TU Wien.</span></p>