Universität Innsbruck - Data Repository
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Monte Carlo data for compressibility factors in 1D and 2D + equation of state
<p>Z1D_X11.dat to Z1D X15.dat first column: dimensionless density, second column: compressibility factor<br>Z2D_X11.dat to Z2D X15.dat first column: dimensionless density, second column: compressibility factor</p><p>ns_<i>vs_X</i>0 first column: aspect ratio X, second column: dimensionless density</p>
Data to Social dilemmas with public and private insurance against losses
<p>Experimental research data related to </p>
<p>Social dilemmas with public and private insurance against losses</p>
<p>https://doi.org/10.1016/j.jebo.2019.02.008</p>
Graph-based functional and structural resilience assessment of urban drainage networks
<p>This repository contains Python code implementing a physics-guided, graph-based model for resilience assessment of urban drainage networks, as proposed in the paper:</p>
<p><strong><em>“Functional and structural resilience assessment in urban drainage networks: a physics-guided graph-based surrogate model”</em></strong><br><strong>Authors:</strong> Mohammad Rajabi, Mohsen Hajibabaei, Aun Dastgir, Robert Sitzenfrei</p>
<p> <strong>Overview</strong><br>The model computes:</p>
<ul>
<li>
<p>Resilience to <strong>structural</strong> failures</p>
</li>
<li>
<p>Resilience to <strong>functional</strong> failures</p>
</li>
</ul>
<p>It uses a series of <strong>hydraulically informed graph metrics</strong> for flow routing and, finally, computes resilience using graph-based formulas.</p>
<p> </p>
<div>---</div>
<h2> Files and Folders Structure</h2>
<p>├── Functional_resilience.ipynb # Calculate functional resilience under all block rainfall scenarios<br>├── Functional_resilience_dynamic_rain.ipynb # Calculate functional resilience under all Chicago and Euler Type II rainfall scenarios<br>├── Structural_resilience.ipynb # Calculate structural resilience for single-pipe failure scenarios<br>└── input_network/ # Contains the SWMM input file</p>
<p> </p>
<div>---</div>
<div> </div>
<div> </div>
<h2> Contact</h2>
<div>For questions, collaborations, or feedback, please contact: </div>
<div> <a href="mailto:[email protected]">[email protected]</a></div>
<p> </p>
Dataset of "Historical aerial image photogrammetry for tracking past deformation of Reissenschuh deep-seated rock slide in Tyrol, Austria."
<p>This dataset features monitoring data of the Reissenschuh deep-seated rock slide (Tyrol, Austria) and consists of:</p>
<p><strong>OVERVIEW:</strong></p>
<ul>
<li><strong>point_clouds</strong>: point clouds derived from historical aerial image photogrammetry (1954, 1973, 2007, 2010, 2019) in the geospatial point cloud format LAZ (LASZip).</li>
<li><strong>raster</strong>:
<ul>
<li> <strong>RS_DSM_stack: </strong>used for applying the image correlation technique to derive displacement vectors.<strong><br></strong>
<ul>
<li>gridded photogrammetic point clouds (1954, 1973, 2007, 2010, 2019)</li>
<li>gridded airborne laser scanning data (2008, 2021)</li>
</ul>
</li>
<li><strong>RS_DSM_HS_stack: </strong>Shaded ambient occlusion reliefs computed from the multitemporal DSMs, which were used for applying the image correlation technique to derive displacement vectors.<strong><br></strong></li>
<li><strong>RS_DoD_stack</strong>: digital surface models of difference computed by subtracting the subsequent DSMs. The uncertainty of the individual DoDs are masked.</li>
<li><strong>RS_velocity_epoch_stack</strong>: gridded velocity vectors (m/yr) computed from the displacement vectors by dividing the vector length by the time period between the acquisition campaigns</li>
<li><strong>RS_1954_2021_stack</strong>: gridded mean velocity vectors (m/yr) computed from the displacement vectors by dividing the vector length by the total period between first and last acquisition campaign and respective acceleration.</li>
</ul>
</li>
<li><strong>shapefiles</strong>:
<ul>
<li>points
<ul>
<li>DGNSS (DGNSS_points)</li>
<li>manual blocktracking on the historical orthoimagery (blocktracking_points)</li>
<li>displacement vectors correlation points derived from image correlation techniques (IMCORR_points)</li>
<li>displacement vectors correlation points derived from image correlation techniques (first to last acquisition campaign) (IMCORR_filtered_points)</li>
</ul>
</li>
<li>lines
<ul>
<li>filtered displacement vectors derived from image correlation techniques (IMCORR_time_series_1954_2021_5m_filtered)</li>
</ul>
</li>
<li>polygon
<ul>
<li>Outline of active unit (outline_RS)</li>
<li>Delineation of subunits (units)</li>
</ul>
</li>
</ul>
</li>
</ul>
<p> </p>
<h3>Further details</h3>
<p>The airborne laser scanning data from 2008 and 2021 were provided by the Federal Government of Tyrol - data.tirol.gv.at and are licenced under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/deed.de) and must be used according to the following conditions of use: https://www.tirol.gv.at/data/nutzungsbedingungen/</p>
<p>The source images (1954) used for photogrammetry are © Federal Office of Metrology and Surveying.</p>
<p>The source images (1971/1973, 2007, 2010, 2019) used for photogrammetry are © Federal Government of Tyrol.</p>
<p>All datasets are provided in the ETRS89 / UTM 32N projection (EPSG 25832). The spatial resolution of the raster datasets is 1 metre (DoD, DSM), 5 metre (Velo, Acc).</p>
MS_Eclipse_2024_November
<p><strong>Eclipse + Vanquish Neo </strong> <br>Standards<br>TKI04AX</p>
Electrochemical age determination of archaeological bronzes (CHRONOCU)
<p><strong><u>Data in repository</u></strong></p>
<ol>
<li><strong>Overview table (CHRONOCU_OBJECTS_final; .csv & .xlsx</strong>) containing object ID, location (museum and inv.no.), archaeological and analytical information of every object analysed within the project; For the object-ID – relevant for finding the corresponding analytical sheets (PDF) and the .txt files for each voltagram in the analytical sheet – please look at the first column of the table.</li>
<li><strong>Analytical sheets (.pdf & .doc) of every single object</strong> (file name: project internal object-ID), comprising voltammetry graphs, basic archaeological and analytical information;</li>
<li><strong>Text files of all the voltagrams</strong> recorded of every object studied (file name: project internal object-ID).</li>
<li>Voltagrams and sample information of the <strong>newly produced corrosion samples</strong> can be found in the folders “specimens”.</li>
</ol>
<p>The files are saved in sub-folders referring to the region/geographical location of the museums where the relevant objects are kept.</p><p>Archaeological bronzes are still dated exclusively typologically and relatively by their find context. Lead isotope analysis (210Pb) on bronzes can provide moreover information on whether the object was made with metal that is less than 150 years old; however, this is not relevant for archaeological bronze objects deriving from a secure find context. First results from electrochemical examinations indicate that bronzes can also be relatively dated on the basis of selected corrosion products. The analysis is considered non-destructive, as only a few mg of corrosion are dabbed from the surface of the bronze. Using voltammetry of immobilised particles (VIMP), the ratio of the copper oxides cuprite and tenorite is measured, which provides information about the age of the object, respectively the time of its deposition in the ground. Analyses were carried out in cooperation with the University of Valencia with leading scientists in the research field of electrochemical dating. Besides the electrochemical analyses, also the influence of various factors such as chemical composition and microstructure on the measurements was evaluated. In total, over 300 bronzes from the Copper Age to the Middle Ages (ca. 2800 B.C. to 1000 A.D.) were analysed. In addition, chemical and spectroscopic analyses of the samples provide a detailed characterisation of the individual corrosion products. The project bridges the gap between natural science and humanities by providing analytical data for the age of archaeological bronzes through analysis of the objects themselves rather than their find contexts – this means it can be applied also to objects with unknown find context. It is the aim of ChronoCu to establish voltammetry as a standardized methodology to determine the age of archaeological bronzes and provide calibration data for future studies.</p><ul>
<li><u>Mödlinger M.</u>, Asmus B., Ghiara G. The “Schwarze Mander” of the court church in Innsbruck, Austria: manufacture and production of monumental brass statues in the Renaissance. <strong><em>International Journal of Metalcasting</em></strong> 2024. doi: <a href="https://link.springer.com/article/10.1007/s40962-024-01299-4"><strong>10.1007/s40962-024-01299-4</strong></a></li>
<li>Doménech-Carbó A., <u>Mödlinger M.</u>, M., Osete Cortina L., Doménech-Carbó M.T. (2024). Mott-Schottky analysis of archaeological copper-based objects, <strong><em>ChemElectroChem, </em></strong>celc.202300639. doi: <a href="https://chemistry-europe.onlinelibrary.wiley.com/doi/10.1002/celc.202300639"><strong>10.1002/celc.202300639</strong></a></li>
<li>Doménech-Carbó A., <u>Mödlinger M.</u>, M., Osete Cortina L., Doménech-Carbó M.T. (2023). Electrochemical approximation to Bronze Age chronology via multiple scan voltammetry, <strong><em>ChemElectroChem</em></strong>, celc.202300405. doi: <a href="https://doi.org/10.1002/celc.202300405"><strong>10.1002/celc.202300405</strong></a><strong> </strong></li>
<li>Doménech-Carbó, A., <u>Mödlinger, M</u>., Ghiara, G. Determining of the composition of the metallic core of historical objects from portable XRF spectrometry data, <em><strong>Spectrochimica Acta Part B: Atomic Spectroscopy,</strong></em> 220, 2024: 107030. doi: <strong><a href="https://doi.org/10.1016/j.sab.2024.107030">10.1016/j.sab.2024.107030</a></strong></li>
</ul><ul>
<li><span><strong>Project title: </strong>Electrochemical Age Determination of archaeological bronzes (<span>ChronoCu</span>)</span></li>
<li><span><strong>Head of project: </strong>Mag. Dr. Marianne Mödlinger PhD</span></li>
<li><strong><span>Institution: </span></strong><span>University of Innsbruck</span></li>
<li><span><strong>Research program: </strong>FWF-Stand Alone project </span></li>
<li><span><strong>Grant-DOI: </strong><span>10.55776/</span></span><span>P34960G</span></li>
<li><span><strong>Funding: </strong>EUR </span><span>218.785</span></li>
<li><span><strong>Duration: </strong>01.01.2023-30.06.2025</span> </li>
<li><span><strong>Website: </strong></span><span>www.fwf.ac.at/en/research-radar/10.55776/P34960</span></li>
</ul>
Data for Symmetry reduction induced by argon tagging gives access to low-lying excited states of FeH+ in the overtone region of the Fe-H stretching mode.
<h2>A primer on your dataset's description (to be edited)</h2><p>The influence of proper documentation on the reusability for research data should not be underestimated!<br>In order to help others understand how to interpret and reuse your data, we provide you with a few questions to help you structure your dataset's description (though please don't feel obligated to stick to them):</p><h3>Context and methodology</h3><ul><li>What is the research domain or project in which this dataset was created?</li><li>Which purpose does this dataset serve?</li><li>How was this dataset created?</li></ul><h3>Technical details</h3><ul><li>What is the structure of this dataset? Do the folders and files follow a certain naming convention?</li><li>Is any specific software required to open and work with this dataset?</li><li>Are there any additional resources available regarding the dataset, e.g. documentation, source code, etc.?</li></ul><h3>Further details</h3><ul><li>Is there anything else that other people may need to know when they want to reuse the dataset?</li></ul>
Fragebogen für Fachkräfte der Sozialpädagogischen Familienhilfe
<p>Fragebogen und Codeplan einer Erhebung unter Fachkräften der Sozialpädagogischen Familienhilfe in Österreich, im Jahr 2024</p>
Enzyme-responsive nanoparticles: enhancing the ability of endolysins to eradicate Staphylococcus aureus biofilm
<p>Article published in Journal of Materials Chemistry B. RSC.</p>
MS_Eclipse_2025_April
<p><strong>Eclipse + Vanquish Neo </strong><br>PR<br>Standard<br><strong>Eclipse + U3000 </strong><br>TKI05AD<br>RLI03AA<br><strong>Eclipse + Nano U3000 </strong><br>lab course</p>