Universität Innsbruck - Data Repository
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Data for investigation of hydraulic concepts to lower the return temperature from customers to district heating networks
No full text<p>These are monitoring data of a multifamily house used to define space heating and domestic hot water consumption profiles as input for a Polysun simulation model. Simulation results and postprocessing files are included as well.</p>
Tutorial: Quantifying Spatially Resolved Hydration Thermodynamics Using Grid Inhomogeneous Solvation Theory
No full text<h3>Molecular Dynamics (MD) Simulations for the Grid Inhomogeneous Solvation Theory (GIST) Tutorial</h3>
<p>This repository contains molecular dynamics simulations to support the tutorial hosted at <a href="https://github.com/liedllab/gist-tutorial">https://github.com/liedllab/gist-tutorial</a>.</p>
<p>The tutorial uses biotin-streptavidin as a test system to show GIST's merits.<br>As such, three MD simulations were run: biotin, streptavidin and the complex made up of them together.<br>All simulations were run using the AMBER simulation engine and follow AMBER's file conventions. <br>The simulations were run for a final duration of 100ns with 10 000 frames written out. <br>An input file with the used settings is uploaded in 100ns-npt-restraint.in.<br><br>For each simulation, the following files are made available here:</p>
<ol>
<li>a .nc file, containing the coordinates of the system in NetCDF format.</li>
<li>a .parm7 file, containing the topology necessary to interpret the coordinates in AMBER parm format.</li>
<li>a .rst file, containing the starting structure of the simulation, i.e. the structure after equilibration.</li>
<li>a .out file, containing the AMBER output of the simulation run.</li>
<li>a .dat file, containing the results (grid) of the GIST analysis.</li>
</ol>
NanoBioRS goes to the Kinder garden of Schwoich
No full text<p>Outreach activity on the frame of NanoBioRS-101025065</p>
MS_Exploris_2025_May
No full text<p><strong>Exploris 480 + direct injection </strong><br>TKI04BN<br><strong>Exploris 480 + Vanquish Flex </strong><br>MHO06AI<br>RLI04AB<br>TKI02BB<br>TKI02BE<br>TKI02BH<br>Standard<br>TKI02BI<br>TKI05AE<br>TKI05AF<br>TKI05BE</p>
Glass transition in colloidal monolayers controlled by light-induced caging
No full text<h2>These are the datasets used to generate the figures in the paper.</h2>
<p><strong>Figure 1:</strong> All files starting with the name <code>Fig1</code><strong> </strong>.</p>
<p><strong>Figure 2:</strong> All files starting with the name <code>Fig2</code> .<br>  <strong>Inset of Figure 2:</strong> All files starting with <code>Fig2_inset</code>.</p>
<p><strong>Figure 3:</strong> All files starting with the name <code>Fig3</code>.</p>
<p> </p>
Supporting Data for "Optimised spectral purity of unfiltered photons via pump and nonlinearity shaping"
No full text<h1>Supporting Data for the manuscript "Optimised spectral purity of unfiltered photons via pump and nonlinearity shaping"</h1>
<div>
<h2>Overview</h2>
<div>This repository contains the complete dataset supporting the experimental results presented in "Optimised spectral purity of unfiltered photons via engineered phase matching and pump spectral shaping". Refer to the manuscript for a detailed discussion of the experiment.</div>
<div>The data include the joint spectral intensity (JSI) characterisation from time-of-flight spectrometry (TOFS), two-photon interference (TPI) measurements, referred here as Hong-Ou-Mandel (HOM) interference, characterisation of the pump laser spectral shaping, and additional studies made in the Supplementary.</div>
<br>
<h2>Data Structure</h2>
<br>
<h3>Main Data (`Main/`)</h3>
<br>
<div><strong>JSI Data (`Main/JSI Data/`)</strong></div>
<div>Contains Joint Spectral Intensity measurements from Sagnac interferometer configurations:</div>
<div>
<ul>
<li>File format: `.txt` files</li>
</ul>
</div>
<div>
<ul>
<li>Naming convention: "<em>JSI_Sagnac1_*.txt"</em> where "*" contains the measurement sequence number and additional information.</li>
</ul>
</div>
<div>
<ul>
<li>Content: Two-dimensional matrix with raw, three-fold coincidence events between (1) pulsed pump trigger, (2) signal and (3) idler down-converted photons as a function of trigger-signal delay and trigger-idler delay in picoseconds:</li>
</ul>
</div>
<div>
<ol>
<li>Delays: first row and first column (ps).</li>
<li>Three-folds: all other elements.</li>
</ol>
</div>
<div>
<p>Example import data in Matlab:</p>
</div>
<div>
<blockquote>
<div>% Load directory</div>
<div>S = dir(fullfile('Main\JSI Data\','*.txt'));</div>
</blockquote>
<div>
<div>
<blockquote>
<div>
<div>% Choose file and extrapolate data</div>
<div>file_index = 1;</div>
<div>F = fullfile('Main\JSI Data\',S(file_index).name);</div>
</div>
<div>
<div>S(file_index).data = readtable(F);</div>
<div>tau_1 = table2array(S(file_index).data(1,2:end));</div>
</div>
<div>
<div>tau_2 = table2array(S(file_index).data(2:end,1));</div>
</div>
<div>
<div>Coinc_table = table2array(S(file_index).data(2:end,2:end));</div>
<div>Coinc_table = flip(table2array(S(file_index).data(2:end,2:end)),1);</div>
</div>
</blockquote>
</div>
</div>
</div>
<br>
<div><strong>HOM Measurement between independent sources without spectral filtering</strong></div>
<div>
<p><em>"IndependentHOM_NoFilters.csv"</em>: Hong-Ou-Mandel interference visibility in heralded two-photon interference measurements without spectral filtering.</p>
</div>
<div>
<ul>
<li>Measurement procedure: The relative delay between interfering photons is scanned with a translation stage, and single and coincidence events are recorded with a time-tagging system. Ten iterations of the measurement are performed.</li>
<li>Content:</li>
</ul>
</div>
<div> - First row: Position of the translation stage that sets the relative delay between interfering photons in millimetres.</div>
<div> - Second row: Total four-fold coincidences, for each position, in the heralded two-photon interference.</div>
<div> - Third to sixth row: Total single counts, for each position, recorded by each channel's detector.</div>
<div> - Seventh to sixteenth row: Four-fold coincidences, for each position, at each iteration of the measurement.</div>
<br>
<div><strong>Pulse Shaping Data</strong></div>
<div><em>"Shaping_Data.mat"</em>: MATLAB data file containing the struct "shaping_configuration". The struct has 18 fields related to the experimental parameters and results obtained by optimising the voltage mask applied to a Spatial Light Modulator (SLM) placed at the Fourier plane of a 4f pulse shaper. The optimisation is based on an iterative procedure where the voltage applied to each pixel of the SLM is adjusted to minimise the error with respect to a target Gaussian function.</div>
<div>
<ul>
<li> Format: MATLAB .mat file</li>
</ul>
</div>
<div>
<ul>
<li> Variables: </li>
</ul>
<p> - "wavelengths": 1x1024 array containing the wavelength corresponding to each pixel of the spectrometer camera.<br> - "spectra": 41x1024 array containing the 41 spectra measured during the iterative optimisation of the SLM voltage mask (unshaped spectrum = first column).<br> - "errors": 1x40 array containing the error with respect to the target spectrum (the first is excluded as it is the unshaped spectrum).<br> - "voltage_masks": 40x128 array containing the optimised voltages (mV) applied to each of the 128 pixels of the SLM.<br> - "best_voltage_mask": 1x128 array corresponding to the optimised voltage mask.<br> - Additional fields refer to the spectrometer setting and to the amplitude and wavelength calibration of the SLM (not required in the analysis).</p>
</div>
<div>
<div>Example import data in Matlab:</div>
<blockquote>
<div>% Read data</div>
<div>wl_vec = shaping_configuration.wavelengths';</div>
<div>
<div>
<div>best_index = find(shaping_configuration.errors==min(shaping_configuration.errors));</div>
</div>
<div>
<div>Amp_vec = shaping_configuration.spectra(best_index+1, :)';</div>
</div>
</div>
</blockquote>
</div>
<div>
<blockquote>
<div> % Analysis data</div>
<div>
<div>
<div>ft = fittype('a*exp(-(x-b)^2/(2*c^2)) + d');</div>
</div>
<div>
<div>fo = fitoptions('StartPoint', [max(Amp_vec), wl_vec(Amp_vec==max(Amp_vec)), 1, 0], 'Method', 'NonlinearLeastSquares');</div>
<div>
<div>[data_fit, gof] = fit(wl_vec, Amp_vec, ft, fo);</div>
<div>etc...</div>
</div>
</div>
</div>
</blockquote>
</div>
<br>
<h3>Supplementary Data (`Supplementary/`)</h3>
<br>
<div><strong>Filter Characterisation (`Supplementary/Semrock 1550-3/`)</strong></div>
<div>Spectral characterisation data for the optical filters. Five measurements are taken for each filter to obtain an average transmission.</div>
<div>
<ul>
<li><em>"Semrock 1550-3 #1.csv"</em> and "<em>Semrock 1550-3 #2.csv"</em>: Transmission spectra for the two filters</li>
<li>Content: CSV with wavelength, average transmission, and standard deviation data.</li>
<li>The "*.dsp" files are the original files obtained from the measuring device for each of the five iterations.</li>
</ul>
</div>
<strong>Filtered HOM Measurements</strong>
<div>"<em>IndependentHOM_Filters.csv</em>": Hong-Ou-Mandel interference measurements with spectral filtering applied. The data structure is identical to the unfiltered case.</div>
<br>
<div><strong>Polarisation Analysis</strong></div>
<div>"<em>Polarisation_InterferenceFringes.csv</em>": Polarisation-dependent interference fringe measurements to estimate the visibility reduction from polarisation mismatch of the interfering photons.</div>
<div>
<ul>
<li>Content: CSV with sample # and intensity measurements at the outputs of the polarisation-maintaining fibre beam splitter used to interfere the down-converted photons.</li>
</ul>
</div>
<h2>Related Publications</h2>
<div>To be published.</div>
<br>
<h2>Contact Information</h2>
<div>For questions regarding this dataset, please contact: [email protected]</div>
<br>
<h2>Funding</h2>
<div>This research was funded in part by the Austrian Science Fund (FWF) projects 10.55776/FG5, 10.55776/F71, 10.55776/W1259, 10.55776/COE1, 10.55776/TAI556 and infrastructure funding from FFG (grant no. FO999896024). We also acknowledge support by the UK Engineering and Physical Sciences Research Council (grant nos, EP/T001011/1, EP/Z533208/1).</div>
</div>
TSC Proteomics
No full text<p>MHO01AF</p>
<p>Hek293T TSC2KO +/- MK-2206</p>
<p>Proteome Data</p>
<p>n=6</p>
Data to Institution formation in weakest-link game
No full text<p>This includes the raw data to Institution Formation in Weakest-Link Game, jointly with other data referring to asymmetric treatments that was generated as part of the research grant but which did not end up being included in the publication. </p>
Impact of urban drainage system malfunctions on pluvial flooding – Case study Feldbach
No full text<h2>Results of all 125 modelled scenarios (Case study Feldbach/Austria)</h2>
<h3>Context and methodology</h3>
<ul>
<li>The dataset is supplementary material to the article in the Journal of Hydrology Regional Studies with the title: Impact of urban drainage system malfunctions on pluvial flooding – Peri-urban study site in Austria</li>
<li>The dataset supplements the analysis in the article, providing insights into all results</li>
<li>The dataset is the result of integrated 1D/2D urban flood modelling with the Software PCSWMM</li>
</ul>
<h3>Technical details</h3>
<ul>
<li>The dataset is in .xlsx format</li>
</ul>
<h3>Further details</h3>
<ul>
<li>The dataset shows 1 reference scenario and 24 malfunction scenarios for the case study of Feldbach (Austria) for 5 different rainfall events. In total, 125 scenarios.</li>
<li>The scenarios were analysed regarding 5 different flood hazard classes (low-extreme), the total flooded area (water depth >5cm) and an aggregated combined hazard index (CHI). The changes in (%) are always the relative change in comparison to the reference scenario for the same rainfall event. </li>
</ul>