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K21-2188
No full text<h2>Related work</h2>
<p>This dataset is part of the digital documentation of the Tomb of Meret Neith, Umm el Qaab, Abydos, Egypt about 3000BC, its artefacts, and the reconstruction of the tomb. For an overview of the related work, please visit <a href="https://researchdata.tuwien.at/communities/meretneith/">https://researchdata.tuwien.at/communities/meretneith/</a>.</p>
<h2>Archaeological information</h2>
<h3>Object name</h3>
<p>Mud sealing</p>
<h3>Object number(s)</h3>
<p>LN3149; K21-2188</p>
<h3>Description</h3>
<p>fragment of inscribed mud sealing</p>
<h3>Location of object at time of photographs</h3>
<p>MoTA storage</p>
<h3>Find location</h3>
<p>Tomb Y; burial chamber (Petrie), Y-KK (DAI); context L50 S3</p>
<h3>Bibliography</h3>
<p>N/A</p>
<h2>Technical Information</h2>
<p>For imaging, Canon RAW and Apple RAW images were captured.</p>
<h3>Physical properties</h3>
<table>
<tbody>
<tr>
<td>Length (cm)</td>
<td>N/A</td>
</tr>
<tr>
<td>Width (cm)</td>
<td>N/A</td>
</tr>
<tr>
<td>Height (cm)</td>
<td>N/A</td>
</tr>
<tr>
<td>Weight (g)</td>
<td>N/A</td>
</tr>
<tr>
<td>Volume (cm3)</td>
<td>N/A</td>
</tr>
<tr>
<td>Density (g/cm3)</td>
<td>N/A</td>
</tr>
</tbody>
</table>
<h3>Comments</h3>
<p>only images, photogrammetry unsuccessful</p>
<h3>Files overview</h3>
<ul>
<li><b>images_videos.zip</b> contains photographs of the real object in RAW format.</li>
<li>[optional] <b>exports_{H,M,L}Q.zip</b> archives contain the scanned object as 3D model in OBJ format including MTL and texture files. HQ, MQ, and LQ refer to high, medium and low quality versions of the model.</li>
<li>[optional] <b>{objectName}_report.pdf</b> contains further technical information of the reconstruction process.</li>
</ul>
Strategic Secondary Ligand Selection for Enhanced Pore-Type Construction and Water Purification Capacity in Zeolitic Imidazolate Frameworks
No full text<p><strong>Context and Methodology</strong></p>
<p>This dataset contains the primary experimental data supporting the research article published in <em>ACS Applied Materials & Interfaces</em> (DOI: 10.1021/acsami.4c21221).</p>
<p>The files provide the raw and processed data used to characterize the structure, surface properties, and adsorption performance of the synthesized materials. For detailed synthesis protocols, experimental conditions, and comprehensive discussion of these results, please refer to the original publication and its Supplementary Information.</p>
<p><strong>Technical Details</strong> <strong>1. Dataset Structure:</strong> The dataset is organized by <strong>characterization technique</strong>.</p>
<ul>
<li>
<p><strong>File Format:</strong> Characterization and performance data are provided in <code>.xlsx</code> (Microsoft Excel) format. </p>
</li>
<li>
<p><strong>Sample Identification:</strong> Inside each file, data columns or individual spectra are clearly labeled with the <strong>Sample Names/Numbers</strong> corresponding to those used in the manuscript.</p>
</li>
</ul>
<p><strong>2. File Descriptions:</strong></p>
<ul>
<li>
<p><strong><code>XRD.xlsx</code>:</strong> Powder X-ray Diffraction (PXRD) patterns for structural analysis.</p>
</li>
<li>
<p><strong><code>IR.xlsx</code>:</strong> Infrared Spectroscopy (FTIR) data.</p>
</li>
<li>
<p><strong><code>N2 physisorption isotherm.xlsx</code>:</strong> Nitrogen adsorption-desorption isotherms, including BET surface area and pore size distribution calculations.</p>
</li>
<li>
<p><strong><code>Methylene blue adsorption.xlsx</code>:</strong> Data representing the <strong>adsorption capacity</strong> of the materials towards Methylene Blue, including kinetic and isotherm studies.</p>
</li>
<li>
<p><strong><code>NMR.xlsx</code>:</strong> Nuclear Magnetic Resonance spectra data.</p>
</li>
</ul>
<p><strong>3. Software Requirements:</strong></p>
<ul>
<li>
<p><strong>General Data:</strong> <code>.xlsx</code> files can be opened with Microsoft Excel, LibreOffice, or any standard spreadsheet application.</p>
</li>
</ul>
<p><strong>Further Details</strong> Users are kindly requested to cite the original article when reusing this dataset.</p>
Two-site entanglement in the two-dimensional Hubbard model
No full text<p>With this data set, we aim to make all data published in [1] <em>Bippus. et. al Two-site entanglement in the two-dimensional Hubbard model (2025) arXiv:2506.09780</em> publicly available. In this study, the entanglement properties of the 2D Hubbard model in the weak coupling regime are investigated. </p>
<p>We include three data sets:</p>
<p><strong>Density Matrices</strong></p>
<p>The <em>Density_Matrices.zip</em> includes all density matrices which were obtained with the parquet approximation (pa) and dynamical vertex approximation (dga) as described in [1]. From them all entanglement measures shown in [1] can be computed.<br><br>The data is structured as follows:<br>Density matrices for each set of Hubbard model parameters U,n,mu,beta is provided in a separate directory i.e.: <em>wgamma_u2.0_n1.00000_mu1.00000_beta5.000000_pa_grain1</em> with <em>_pa</em>, <em>_dga</em> signalling the approximation that has been used and <em>_grain1</em> is added for data that does not use coarse graining. <br>Each directory includes <em>rho_(dx,dy).csv </em>files containing the 16x16 two-site reduced density matrices of two lattice sites separated by distance (dx,dy) in the basis specified in [1].<br><br><strong>QMC</strong></p>
<p>The <em>QMC.zip</em> data set includes all quantum Monte Carlos benchmark data used in [1]. All data were obtained with the Algorithms for Lattice Fermions (ALF) library [2]. A detailed description of the output files is provided in [2].<br><br>The data is structured as follows:<br>Each set of considered Hubbard model parameters is provided in a separate directory i.e.: <em>U4.0_n_1.0_beta5.0 </em>with the Rényi Mutual information stored <em>mutual_{}.dat </em>files. For {} = 10, data is shown along the horizontal direction, for {} = 11 data is shown along the diagonal direction, {} = 2D or no addition includes data for all lattice sites in the irreducible wedge.</p>
<p><strong>U0</strong></p>
<p>The <em>U0.zip </em>includes the semi-analytical results for the mutual information in the non-interacting Hubbard model and contains two <em>.dat </em>files of the mutual information at half filling and n=0.8.</p>
<p>[1] <em>Bippus. et. al Two-site entanglement in the two-dimensional Hubbard model (2025) arXiv:2506.09780</em></p>
<p>[2]<em> Assaad. et. al </em><em>The ALF (Algorithms for Lattice Fermions) project release 2.4. Documentation for the auxiliary-field quantum Monte Carlo code </em><em>(2025) 10.21468/SciPostPhysCodeb.1-v2.4</em></p>
K24-332
No full text<h2>Related work</h2>
<p>This dataset is part of the digital documentation of the Tomb of Meret Neith, Umm el Qaab, Abydos, Egypt about 3000BC, its artefacts, and the reconstruction of the tomb. For an overview of the related work, please visit <a href="https://researchdata.tuwien.at/communities/meretneith/">https://researchdata.tuwien.at/communities/meretneith/</a>.</p>
<h2>Archaeological information</h2>
<h3>Object name</h3>
<p>Figurine fragment, zoomorph</p>
<h3>Object number(s)</h3>
<p>K24-332; LN311</p>
<h3>Description</h3>
<p>figurine fragment, zoomorphic, ivory. </p>
<h3>Location of object at time of photographs</h3>
<p>MoTA storage</p>
<h3>Find location</h3>
<p>Tomb Y; context L197 S1</p>
<h3>Bibliography</h3>
<p>N/A</p>
<h2>Technical Information</h2>
<p>For imaging, Canon RAW and Apple RAW images were captured.</p>
<h3>Physical properties</h3>
<table>
<tbody>
<tr>
<td>Length (cm)</td>
<td>N/A</td>
</tr>
<tr>
<td>Width (cm)</td>
<td>N/A</td>
</tr>
<tr>
<td>Height (cm)</td>
<td>N/A</td>
</tr>
<tr>
<td>Weight (g)</td>
<td>N/A</td>
</tr>
<tr>
<td>Volume (cm3)</td>
<td>N/A</td>
</tr>
<tr>
<td>Density (g/cm3)</td>
<td>N/A</td>
</tr>
</tbody>
</table>
<h3>Comments</h3>
<p>none</p>
<h3>Files overview</h3>
<ul>
<li><b>images_videos.zip</b> contains photographs of the real object in RAW format.</li>
<li>[optional] <b>exports_{H,M,L}Q.zip</b> archives contain the scanned object as 3D model in OBJ format including MTL and texture files. HQ, MQ, and LQ refer to high, medium and low quality versions of the model.</li>
<li>[optional] <b>{objectName}_report.pdf</b> contains further technical information of the reconstruction process.</li>
</ul>
Dataset for "Ultra Sensitive PIN-Diode Receiver Utilizing Photocurrent Integration on a Parasitic Capacitance"
No full text<h2>Overview</h2>
<p><br>This repository provides measurement data and evaluated data related to our manuscript "Ultra Sensitive PIN-Diode Receiver Utilizing Photocurrent Integration on a Parasitic Capacitance" by Christoph Gasser, Simon Michael Laube, Kerstin Schneider-Hornstein, and Horst Zimmerman, published in IEEE ACCESS, 2024, DOI: <a href="https://doi.org/10.1109/ACCESS.2024.3447731" target="_blank" rel="noopener">10.1109/ACCESS.2024.3447731</a>.</p>
<h2>Context</h2>
<p>In our study, we present the design and experimental verification of an optoelectronic integrated circuit (OEIC) with monolithicaly integrated photodiode.<br>We measured the responsivity, capacitance and bandwidth of the photodiode. Moreover, we measured the transient output voltage of the OEICs across optical input power with an oscilloscope, and stored the waveforms in HDF5 files. The bit error probability (BER) was evaluated from the transient measurements using post-processing in Python, as explained in our manuscript. A data rate of 100 Mb/s with 70% return-to-zero (RZ) on-off keying (OOK) modulation was used for BER measurements.</p>
<h2>File structure</h2>
<p>The main folders <code>/BER</code>, <code>/powermeter</code>, <code>/responsivity</code> and <code>/waveforms</code> are provided.</p>
<h3>Waveforms</h3>
<p><code>/waveforms</code> contains raw waveform (transient measurement) data. Waveforms are stored as HDF5 files (.h5 file ending) that contain an internal file system with metadata and data, generated by the oscilloscope. HDF5 files can be read using the free HDFView program, h5py Python library, or other software.</p>
<p>The internal file system within our HDF5 files has the following structure:<br><code>/FileType/KeysightH5FileType</code><br><code>/Frame/TheFrame</code><br><code>/Waveforms</code><br><code> /Channel 1/Channel 1 Data</code><br><code> /Channel 2/Channel 2 Data</code></p>
<p>KeysightH5FileType and TheFrame are oscilloscope metadata. The Channel 1 sub-folder contains metadata and Channel 1 Data. Channel 1 Data is the raw waveform data of the pseudo-random bit sequence (PRBS) that was used as the input signal of our OEICs. The Channel 2 sub-folder contains metadata and Channel 2 Data. Channel 2 Data is the raw waveform data of the OEIC output voltage.</p>
<p>The file name structure of the HDF5 files is<br> <code><sample identifier + info>x<measurement identifier>x1x<optical power identifier>x<vG identifier>.h5</code></p>
<p>Here, the sample identifier is the same as explained above; the measurement identifier is an arbitrary text/number; the optical power identifier connects the power measurement (see below) with the corresponding waveform; and the vG identifier connects the reference voltage setting (see below) with the corresponding waveform.</p>
<h3>Optical Power</h3>
<p><code>/powermeter</code> contains the calibration factors that were used to calculate the actual power incident on the chip. <br><code>"calFactorSpectrum.dat"</code> contains the calibration factor for responsivity measurement in order to account for the 400nm - 900nm transmission spectrum. A 1550nm fiber was used for the responsivity setup.<br><code>"calFactorBER.dat"</code> contains the calibration factor at 642nm for BER measurements. Note that, a 630nm fiber was used for the BER setup.</p>
<h3><br>Bit error probability</h3>
<p><code>/BER</code> contains the evaluated bit error probability of the OEIC. All files within this folder are generated from the raw data provided in <code>/waveforms</code> and <code>/powermeter</code>, using our Python script. Three file types are provided:<br> (1) Log files (.log file ending) that document the result of the evaluation. These log files were used to plot Fig. 9 in our manuscript.<br> (2) Image files (.png file ending) that illustrate the result of the evaluation, similar to Fig. 10 in our manuscript.<br> (3) A CSV file that contains a results summary (.csv file ending).</p>
<p>The log file contains metadata about the evaluation process, the evaluation result (BER), as well as the the input file (waveform) and output files of the evaluation. Note that the .tab output files are not provided because they were only used for debugging of our Python script. While most of the log file contents should be self-explanatory, some require special attention:</p>
<ul>
<li><br> In the "User settings" section we provide settings for the evaluation of the reference PRBS (Channel 1 Data in the HDF5 files). The boolean flag "PRBS inverted" shows whether the PRBS waveform was processed as is, or was logically inverted. The "PRBS detection threshold" is the threshold voltage that was used to digitize the (analog) PRBS waveform. Because the SNR of the PRBS is very high, the threshold itself is uncritical and was auto-detected by our Python script. The "PRBS detection offset" marks the start of the PRBS with respect to the recorded waveform. This is necessary because the recording may start at an arbitrary time, so the first recorded bit is incomplete. The start of the PRBS was auto-detected by our Python script by rising edge detection. The "PRBS detection delay" shows at which time instant each PRBS bit is sampled, with respect to the start of a bit. Typically, the bit should be sampled at the center. For 100 Mb/s with 70% RZ modulation, the center is 3 ns (=PRBS detection delay) after the start of the bit.</li>
<li> In the "Results" section, the result and the optimized settings for the evaluation of the chip output (Channel 2 Data in the HDF5 files) are provided. "Decision threshold" is the threshold (voltage) for bit decision. "CDS delta time" is the time between the two sample instants of correlated double sampling (CDS). "Best BER" is the BER result. The "Static delay" is the coarse delay between PRBS and chip output waveform, given in multiples of the bit period (10 ns at 100 Mb/s). The "Inter-bit delay" is the fine delay between PRBS and chip output waveform, that is always less than the bit period. The sum of static delay and inter-bit delay are the total delay between PRBS and chip output waveform.</li>
</ul>
<p>The file name structure of the log files is<br> <code><sample identifier + info>x<measurement identifier>x1x<optical power identifier>x<vG identifier>.log</code><br>The file name structure of the image files is<br> <code><sample identifier + info>x<measurement identifier>x1x<optical power identifier>x<vG identifier>.png</code></p>
<p>The results summary CSV contains all optical power and vG settings, the BER results, and the underlying dataset file names. For the meaning of vG, please refer to Fig. 4 of our manuscript.</p>
<h3><br>Responsivity</h3>
<p><code>/responsivity</code> contains the raw spectral responsivity data of the photodiodes, that is plotted in Fig. 3a of our manuscript. The responsivity, the wavelength and the bias voltage (that corresponds to the cloumns of the responsivity and wavelength files) are provided in separate DAT files. The plotted data in the manuscript is for bias voltage 20V.</p>
<h3><br>Capacitance</h3>
<p>Because the raw photodiode capacitance data is given in the manuscript, no data is provided in this dataset.</p>
<h3>Bandwidth</h3>
<p>Because the raw photodiode frequency response data is given in the manuscript, no data is provided in this dataset.</p>
<h2><br>Licensing</h2>
<p>The dataset consists of raw measurement data and processed data.<br>Raw data is licensed under the Creative Commons Zero 1.0 Universal (CC0) license.<br>Processed data is copyrighted and licensed under the Creative Commons Attribution 4.0 International (CC-BY) license.<br>All metadata is licensed under the Creative Commons Attribution 4.0 International (CC-BY) license.</p>
<p>The following list shows the license attached to the individual files:</p>
<ul>
<li>All files and sub-folders within <code>/waveforms</code>: CC0 license</li>
<li>All files and sub-folders within <code>/BER</code>: CC-BY license</li>
<li>All files and sub-folders within <code>/responsivity</code>: CC0 license</li>
<li><code>/README.txt</code>: CC-BY license<br><br></li>
</ul>
EGI - International Services for Researchers and Federated Resource Providers
Get PDF<p>This poster describes the EGI federation and its provided services for Austrian and international researchers and resource providers regarding large-scale computing, data analytics, and federated data management.</p>
Impactevaluierung von Priorisierten Impfungen
Get PDF<h2>Background and Goal</h2>
<p>Vaccinations are one of the most effective preventative measures in medicine and play a central role in public health. As part of the current political process (Finanzausgleich 2025), 90 million euros will be made available annually until 2028 for recommended vaccinations, which are to be prioritized based on evidence. According to the Austrian Vaccination Plan (Impfplan) 2024/25, twelve vaccinations, outside of the free childhood vaccination program, are generally recommended, at least to specific target groups. These vaccinations were subjected to a comprehensive analysis by the TU Wien in collaboration with the Medical University of Vienna and the Gesundheit Österreich GmbH on behalf of the Federal Ministry of Social Affairs, Health, Care and Consumer Protection (BMSGPK) with the involvement of the National Vaccination Committee (NIG). Medical and technical, health economic and economic aspects were taken into account.</p>
<p>The results of this analysis, <em>published here in their original format</em>, are considered and evaluated by the National Vaccination Committee and then presented to the target management partners.</p>
<h2>Methods</h2>
<p>A mixed-method approach was chosen for the analysis, combining quantitative and qualitative modelling and simulation approaches. In a participatory process, PICO questions (Population, Intervention, Comparator, Outcome) were created by the NIG in cooperation with the project partners. These questions are evaluated using a simulation model that depicts the Austrian population in a steady state. This model integrates key parameters such as immunity build-up and decline, vaccination adherence and cost structures of the healthcare system. The underlying data comes from existing Austrian health databases, systematic literature research and qualitative interviews with experts from the healthcare sector. Where possible, real data from Austrian registers were used; in other cases, meta-analyses and bottom-up calculations were used. To evaluate the individual PICO questions, a total of 68 scenarios with different levels of vaccination readiness were modeled in detail and evaluated in relation to a comparator.</p>
<p>The evaluation is based on the medical effects of the intervention in comparison with the comparator, i.e. avoided illnesses, hospitalizations, deaths and sick days, as well as economic effects, i.e. reduction of costs due to extramural or intramural treatments, sick days and premature death. Extramural costs were estimated using standard treatment pathways and take into account both medication and treatment costs. To quantify intramural costs, hospital treatments in previous years and the associated costs (LKF points) were evaluated for selected ICD diagnoses. Standard health economic methods were used to calculate the costs of sick leave and premature death, which were parameterized for the Austrian population and the Austrian labor market. </p>
<h2>Report Structure</h2>
<p>The report contains an executive summary with summarized and interpreted model/analysis results, a generally understandable description of the method, a description of the parameters and data sources used, a documentation of the limitations of the evaluation process, and all results generated by the simulation model as an automatically generated document chapter. In order to harmonize reproducibility and readability, technical details on basic assumptions, parameters, data and model are referenced in various appendices, which are also available here.</p>
<p>Note: The archive <strong>PDF-A.zip</strong> contains all the documents in <a href="https://en.wikipedia.org/wiki/PDF/A">PDF/A</a> format.</p>
The Virtual Patent (VP-WPI) Test Collection
Get PDF<p>The VP-WPI Test Collection is a novel dataset that implements the Virtual Patent (VP) concept. A <em>Virtual Patent </em>is a synthesized document that represents a single patent, created by merging the most up-to-date information from its various publication stages (e.g., kind codes A1, A2, B1, B2). </p>
<p>Specifically, VP-WPI is as a specialized vertical of the WPI+ resource, which offers a unified, non-redundant view of patents by aggregating all relevant documents from the WPI test collection at the kind-code level to create unified VP documents. </p>
<p>This collection serves as an abstraction layer over WPI, designed to:</p>
<ul>
<li>Simplify analysis by reducing document redundancy.</li>
<li>Enhance data consistency by providing a single source of truth.</li>
<li>Preserve traceability with links back to all original source documents.</li>
</ul>
<h3>Further Information</h3>
<p>For full technical details, including collection statistics, data specifications, and the creation process, please refer to:</p>
<ul>
<li>WPI+ Resource - Documentation & Source Code: <a href="https://github.com/cs1msa/WPIplus/tree/main/Virtual%20Patents">WPI+ GitHub Repository</a></li>
</ul>
<p>Resources: </p>
<ul>
<li>VP-WPI Test Collection on TU-Wien (this page): <a href="https://doi.org/10.48436/2myzm-yyh19">VP-WPI Collection</a>.</li>
<li>WPI Test Collection on Zenodo: <a href="https://doi.org/10.5281/zenodo.1489994">WPI Test Collection.</a></li>
<li>Comprehensive Thesis (in Greek): Papadopoulos, C., MSc Thesis, International Hellenic University. <a href="https://repository.ihu.gr/handle/11544/47881">https://repository.ihu.gr/handle/11544/47881</a>.</li>
</ul>
Model - Koppenwallner et al. - Short pulse epiretinal stimulation allows focal activation of retinal ganglion cells
No full text<h2>Multi-compartment model associated with <em>Koppenwallner et al. - Short pulse epiretinal stimulation allows focal activation of retinal ganglion cells</em></h2>
<p>Model to simulate neuronal responses to electrical stimulation including simple plot function. The model is the basis for modeling figures 5 & 6 in Koppenwallner et al. (<a href="https://doi.org/10.1109/TNSRE.2025.3529940">10.1109/TNSRE.2025.3529940</a>). Functionality includes running a specified model RGC and plotting spiking output (e.g., membrane voltage over time) but does not perform threshold searching or other, more complex, analysis.</p>
<h3>Context and methodology</h3>
<ul>
<li>Models of mouse retinal ganglion cells (RGCs) based on 3d tracings of reconstructed cells. Reconstructed cells are based on intracellular Neurobiotin fills, fixation, immunohistochemistry followed by condocal imaging and tracing.</li>
<li>Electrical stimulation can be applied to test the effect of 10-μs-long biphasic pulses on RGC activation threshold.</li>
</ul>
<h3>Technical details</h3>
<ul>
<li>Model has been tested in Python 3.13.5 with NEURON (<a href="https://neuron.yale.edu/neuron/">https://neuron.yale.edu/neuron/</a>)</li>
<li><em>.mod</em> files in the <em>nrn</em> folder must be compiled prior to run the model using NEURON's <em>mknrndll</em></li>
<li>Parameter <em>Stim['somaAxis']</em> is used to create the main soma axis either along the x, y or z dimension to probe the effect of soatic polarization (Fig. 5 in the paper)</li>
<li>Parameter <em>Stim['stimPos']</em> is used to easily position the stimulation electrode either at the <em>soma</em>, the <em>axon</em> or a user-defined position (<em>flex</em>)</li>
<li>Electrophysiologcial parameters of model RGCs can be modified in <em>rgcTemplate.py</em></li>
<li>If help is needed feel free to reach out to Paul Werginz</li>
</ul>
<p>Data is licensed under Creative Commons Attribution 4.0 International (CC BY 4.0), software is licensed under a MIT License.</p><p>Epiretinal implants suffer from a lack of spatial resolution, which is greatly influenced by the undesired co-activation of distal cells with their axons passing close to targeted somas. Short current pulses in the range of 50μs have been shown to preferentially activate somas, but the low specificity may limit practical applications. In this paper, we explored decreasing pulse durations down to 10μs for achieving focal activation, i.e., a large differentiation between axonal and somatic activation in epiretinal configuration. We determined thresholds for pulses ranging between 10 and 500μs in retinal ganglion cells of both wild-type and photoreceptor-degenerated mouse retina. Ex-vivo stimulation using biphasic rectangular pulses was performed using a custom-built modified Howland-type current-controlled stimulator and a microelectrode. We demonstrate reliable direct activation of retinal ganglion cells using 10μ s pulses for both somatic and axonal electrode positions. Cells from wild-type and photoreceptor-degenerated retinas exhibited similar thresholds. Axonal thresholds were significantly higher for all pulse durations, with the ratio between axonal and somatic thresholds strongly increasing with decreasing pulse duration (1.32 and 4.39 for pulse durations of 500 and 10μs, respectively). Computational modeling points to somatic polarization as the underlying mechanism for lower somatic thresholds. Our results demonstrate focal activation with pulses in the range of 10μs as a potential strategy to avoid the long-standing problem of axonal co-activation in epiretinal implants.</p>
Adiu mes amours (New_1536-6_n077) Audio recording
No full text<h1>Audio recording of a lute piece from the E-LAUTE project</h1><h2>Overview</h2><p>This dataset contains an audio recording of the piece "Adiu mes amours", a 16th century lute music piece originally notated in lute tablature, created as part of the E-LAUTE project (<a href="https://e-laute.info/">https://e-laute.info/</a>). The recording preserves and makes historical lute music from the German-speaking regions during 1450-1550 accessible.</p><p>The recording is based on the work with the title "Adiu mes amours" and the id "New_1536-6_n077" in the e-lautedb. It is found on the page(s) or folio(s) piiijv-qijr in the source "Ein Newgeordent Künstlich Lautenbuch" with the source-id "New_1536-6".</p><p>The original source and multiple transcriptions of the work can be found on the E-LAUTE platform: <a href="https://edition.onb.ac.at/fedora/objects/o:lau.New_1536-6/methods/sdef:TEI/get?mode=n077" target="_blank">https://edition.onb.ac.at/fedora/objects/o:lau.New_1536-6/methods/sdef:TEI/get?mode=n077</a>.</p><p>Links to the source: <a href="https://nbn-resolving.org/urn:nbn:de:gbv:3:1-336930-p0001-4" target="_blank">https://nbn-resolving.org/urn:nbn:de:gbv:3:1-336930-p0001-4</a>, <a href="https://opac.rism.info/rism/Record/rism993104150" target="_blank">https://opac.rism.info/rism/Record/rism993104150</a>, <a href="https://gateway-bayern.de/VD16+ZV+11665" target="_blank">https://gateway-bayern.de/VD16+ZV+11665</a>, .</p><h2>Dataset Contents</h2><p>This dataset includes:</p><ul><li><strong>Audio file</strong>: An audio recording of the lute piece in .wav format</li> <li><strong>Metadata file</strong>: A metadata file with detailed information about the recording in .json format</li></ul><h2>About the E-LAUTE Project</h2><p><strong>E-LAUTE: Electronic Linked Annotated Unified Tablature Edition - The Lute in the German-Speaking Area 1450-1550</strong></p><p>The E-LAUTE project creates innovative digital editions of lute tablatures from the German-speaking area between 1450 and 1550. This interdisciplinary "open knowledge platform" combines musicology, music practice, music informatics, and literary studies to transform traditional editions into collaborative research spaces.</p><p>For more information, visit the project website: <a href="https://e-laute.info/">https://e-laute.info/</a></p>