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High-temperature electronic transport of Ru2Ti(Si,Al) Heusler compounds
No full text<h2>Context</h2>
<p>Heusler compounds with six valence electrons per atom have attracted interest as thermoelectric materials owing to their semimetallic and semiconducting properties.<br>Here, we theoretically and experimentally investigate electronic transport in Ru2TiSi-based full-Heuslers.<br>We show that electronic transport in this system can be well captured by a two-parabolic-band model.<br>The larger band gap of Ru2TiSi promises a higher thermoelectric performance, compared to its isovalent family member Fe2VAl, which has been studied as a thermoelectric material for over two decades.<br>Additionally, we identify p-type Ru2TiSi as far more efficient than previously studied n-type compounds and demonstrate that this can be traced back to much lighter and more mobile holes originating from dispersive valence bands.<br>Our findings suggest that an exceptionally high dimensionless figure of merit zT > 1 can be realized in these p-type compounds around 700 K upon proper reduction of the lattice thermal conductivity, e.g., by substituting Zr or Hf for Ti.</p>
<h2>Technical details</h2>
<p>Temperature-dependent thermoelectric properties (Seebeck coefficient and electrical resistivity).<br>Temperature is given in kelvins, Seebeck coefficient in microvolts per kelvin and resistivity in microohms*centimeter.</p>
Die ACONET Community
Full text link<p>Präsentation bei der EXPO 2025 des Clusters Forschungsdaten am 16.01.2025. Dargestellt wird die Entwicklung und der derzeitige Status der ACONET Community, beginnend mit der Gründung des ACONET Vereins 1986 als „Association for the Promotion of an Austrian National Research and Education Network“. Die verschiedenen Rollen und Services dieses Netzwerks für Wissenschaft und Forschung - sowohl als Infrastruktur als auch als Community - und die Einbettung in internationale Strukturen sollen dabei vermittelt werden.</p>
Building a bridge to the future of machine-actionable DMP tools with DAMAP
No full text<p>Early Data Management Plan (DMP) tools often created DMPs that were not machine-actionable, meaning there was limited potential for other systems to access the data, unnecessarily restricting the sharing of data. While many tools now produce machine-actionable DMPs (maDMPs), the challenge is moving them away from creating static products and instead to interconnected, machine-actionable resources. How can we make the transition to living maDMPs with no more PDFs being exported? Using the DMP Tool DAMAP as an example, this poster describes the evolution of DMPs and outlines how DAMAP will be used as part of the OSTrails (Open Science) project to help move us towards a future of truly machine-actionable DMPs.</p>
<p><strong>DMP Tools</strong></p>
<p>Various DMP tools have been developed to support researchers in completing DMPs.</p>
<p>DMP tools often:</p>
<ul>
<li>are just interactive questionnaires for document generation</li>
<li>do not reuse existing information from a CRIS</li>
<li>duplicate questions asked by other systems of the organization</li>
<li>can overwhelm users with the number of questions</li>
</ul>
<p><strong>DAMAP</strong></p>
<p>We have created a comprehensive DMP tool, DAMAP, and invite institutions to join us to enhance and expand its capability. DAMAP is a machine-actionable DMP tool that guides researchers through the creation of a DMP, incorporating relevant CRIS infrastructure to more quickly and accurately allow them to complete plans that align to FAIR data practices. DAMAP was developed with the RDA recommenda¬tions for maDMPs in mind, i.e., we focus on model¬ling information, not questionnaires.</p>
<p><strong>Future</strong></p>
<p>As part of the OSTrails project initiated in February, 2024, we are taking concrete steps to normalize interconnected, machine-actionable DMPs within Research Data Management (RDM). This poster includes details of the steps that will bring us closer to our goal of having maDMPs be the standard for seamless interconnectivity within the RDM community.</p>
Research data for "Thermoplastic-like heterogeneous photopolymers for additive manufacturing with tailored hyperbranched rubbers"
No full text<p><strong><span lang="EN-US">Context</span></strong></p>
<p><span lang="EN-US">This dataset was created from original work conducted in the framework of a PhD project at University of Chemistry and Technology Prague and an Erasmus-Exchange to TU Wien, and compiled in a publication. It provides the raw data of results presented and discussed therein. The data is published within below-referenced publication.</span></p>
<p><strong><span lang="EN-US">Technical details</span></strong></p>
<p><span lang="EN-US">In the following, description of the uploaded data is available. Detailed experimental procedures to arrive at the materials is included in the corresponding publication but abbreviations of formulations and materials used in the files are also described below.</span></p>
<p><strong><span lang="EN-US">Folder "NMRs"</span></strong></p>
<p><span lang="EN-US">Contains 1H NMRs of the compounds 1PE, 2PE, EPE and MEU.</span></p>
<p><strong><span lang="EN-GB">Excel File "RawData"</span></strong></p>
<p><span lang="EN-GB">The file tabs are named according to the corresponding figure displaying the data in the manuscript and the data type displayed:</span></p>
<p><span lang="EN-GB">Tab 1: Figure 2 Tensile tests<br>Tab 2: Figure 3 DMTA <br>Tab 3: Figure 4 AFM<br>Tab 4: Figure 7 PhotoDSC<br>Tab 5: Figure 8 Photorheology (PhotoRheo)<br></span></p>
<p><strong><span lang="EN-GB">Folder "GPC"</span></strong></p>
<p><span lang="EN-GB">Size exclusion chromatography (SEC; gel permeation chromatography, GPC) data for the (functionalized) hyperbranched polyethylene macromonomers. Data is given in Waters™ format, but it can be opened with Windows Notepad text editor.<br></span></p>
<p><strong><span lang="EN-GB">Abbreviations</span></strong></p>
<p><span lang="EN-GB">MEU: 2-(methacryloyloxy)ethyl undec-10-enoate, Comonomer to introduce functional endgroups to the hyperbranched polyethylene rubber</span></p>
<p><strong><em><span lang="EN-GB">Hyperbranched (functionalized) rubbers as macromonomers:</span></em></strong></p>
<p><span lang="EN-GB">0PE: Hyperbranched polyethylene with M<sub>n</sub> = 119.0 kg mol,<em> </em>M<sub>w</sub>/M<sub>n</sub> = 2.1, B (degree of branching) = 97 branches per 1000 carbon atoms, 0 functional endgroups<br>1PE: Hyperbranched polyethylene with M<sub>n</sub> = 31.8 kg mol,<em> </em>M<sub>w</sub>/M<sub>n</sub> = 3.0, B = 94 branches per 1000 carbon atoms, 0.7 mol% MEU functional endgroups<br>2PE: Hyperbranched polyethylene with M<sub>n</sub> = 4.3 kg mol,<em> </em>M<sub>w</sub>/M<sub>n</sub> = 2.0, B = 89 branches per 1000 carbon atoms, 2.5 mol% MEU functional endgroups<br>EPE: Hyperbranched polyethylene with M<sub>n</sub> = 30.4 kg mol,<em> </em>M<sub>w</sub>/M<sub>n</sub> = 1.6, B = 98 branches per 1000 carbon atoms, 3.2 mol% ethyl ester functional endgroups</span></p>
<p><strong><em><span lang="EN-GB">Formulations and Materials: </span></em></strong><span lang="EN-GB">Utilize the same abbreviations, according to their composition described next to the abbreviations below.<br>Materials are cured specimens from the formulations with described compositions below, using the following curing protocol: curing in silicone moulds at 80 °C with a UVET LED light source (emission maximum: 360 nm, 290 mW cm<sup>-2</sup>) for 180 s from either side.</span></p>
<p><span lang="EN-GB">Matrix (0PE): 1 mol eq. <em>N</em>-cyclohexyl maleimide + 2 mol eq. fenchyl styrene</span></p>
<p><span lang="EN-GB">1PE10: 90 wt% matrix, 10 wt% 1PE, 1 wt% TPO-L (ethyl phenyl(2,4,6-trimethylbenzoyl)phosphinate, photoinitiator)<br>1PE15: 85 wt% matrix, 15 wt% 1PE, 1 wt% TPO-L <br>1PE20: 80 wt% matrix, 20 wt% 1PE, 1 wt% TPO-L </span></p>
<p><span lang="EN-GB">2PE10: 90 wt% matrix, 10 wt% 2PE, 1 wt% TPO-L <br>2PE15: 985 wt% matrix, 15 wt% 2PE, 1 wt% TPO-L <br>2PE20: 80 wt% matrix, 20 wt% 2PE, 1 wt% TPO-L </span><span lang="EN-US"> </span></p>
Model - Werginz et al. - Differential intrinsic firing properties in sustained and transient mouse αRGCs match their light response characteristics and persist during retinal degeneration
No full text<h2>Multi-compartment model associated with Werginz et al. - Differential intrinsic firing properties in sustained and transient mouse αRGCs match their light response characteristics and persist during retinal degeneration</h2>
<p>Model to simulate neuronal responses in retinal ganglion cells (RGCs) to intracellular current injections including simple plot functions. The model is the basis for modeling figure 4 in Werginz et al. (<a href="https://doi.org/10.1523/JNEUROSCI.1592-24.2024">10.1523/JNEUROSCI.1592-24.2024</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 based on 3d tracings of reconstructed cells. Reconstructed cells are based on intracellular Neurobiotin fills, fixation, immunohistochemistry followed by confocal imaging and tracing.</li>
<li>Intracellular stimulation can be applied to test the effect of cell morphology on spiking threshold and spike shape.</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>Electrophysiological parameters of model RGCs can be modified in <em>rgcTemplate_2010_.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>Retinal ganglion cells (RGCs) are the neuronal connections between the eye and the brain conveying multiple features of the outside world through parallel pathways. While there is a large body of literature on how these pathways arise in the retinal network, the process of converting presynaptic inputs into RGC spiking output is little understood. In this study, we show substantial differences in the spike generator across three types of αRGCs in female and male mice, the αON sustained, αOFF sustained, and αOFF transient RGC. The differences in their intrinsic spiking responses match the differences in the light responses across RGC types. While sustained RGC types have spike generators that are able to generate sustained trains of action potentials at high rates, the transient RGC type fired shortest action potentials enabling it to fire high-frequency transient bursts. The observed differences were also present in late-stage photoreceptor-degenerated retina demonstrating long-term functional stability of RGC responses even when presynaptic circuitry is deteriorated for long periods of time. Our results demonstrate that intrinsic cell properties support the presynaptic retinal computation and are, once established, independent of them.</p>
Adiu mes amours (New_1536-7_n42) 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_1536-7_n42" in the e-lautedb. It is found on the page(s) or folio(s) Xiijv-Yijr in the source "Der ander theil des Lautenbúchs" with the source-id "New_1536-7".</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_1536-7/methods/sdef:TEI/get?mode=n42" target="_blank">https://edition.onb.ac.at/fedora/objects/o:lau.New_1536-7/methods/sdef:TEI/get?mode=n42</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/rism993104151" target="_blank">https://opac.rism.info/rism/Record/rism993104151</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>
Tantz [Zeinertanz] (A-Wn_Mus.Hs._18688_n49) 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 "Tantz [Zeinertanz]", 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 "Tantz [Zeinertanz]" and the id "A-Wn_Mus.Hs._18688_n49" in the e-lautedb. It is found on the page(s) or folio(s) 28r in the source "[Lautentabulatur des Stephan Craus]" with the source-id "A-Wn_Mus.Hs._18688".</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.A-Wn_Mus.Hs._18688/methods/sdef:TEI/get?mode=n49" target="_blank">https://edition.onb.ac.at/fedora/objects/o:lau.A-Wn_Mus.Hs._18688/methods/sdef:TEI/get?mode=n49</a>.</p><p>Links to the source: <a href="http://data.onb.ac.at/rec/AC14316391" target="_blank">http://data.onb.ac.at/rec/AC14316391</a>, <a href="https://rism.online/sources/600141880" target="_blank">https://rism.online/sources/600141880</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>
Entanglement in the pseudogap regime of cuprate superconductors
No full text<h2>Dataset</h2>
<p>We proide the data for the main results of <em>[F. Bippus et al. Phys. Rev. B. (2025) <a href="https://doi.org/10.1103/xk42-b9cx">https://doi.org/10.1103/xk42-b9cx</a>]</em>, all references to figures and equations are pointing to this paper</p>
<h3>Context and methodology</h3>
<ul>
<li>We investigate the Quantum Fisher information and quantum variance in the 2D Hubbard model and in Cuprates. With these measures, strong entanglement in the pseudogap regime is observed. </li>
<li>We provide the data accompaning our publication to follow the data availability initatives.</li>
<li>The spin suceptibility data was obtained with ladder-Dynamical Vertex Approximation (DGA), a diagramtic extension of (DMFT) <em>[G. Rohringer et al. Rev. Mod. Phys. <strong>90</strong>, 025003 (2018)]</em></li>
</ul>
<h3>Technical details</h3>
<p>After decompression of the "Archiv.zip" file one finds:</p>
<ul>
<li>In the paper we investiagate the Hubbbard model with the usual t,t',t'' hopping parameters. We have two different sets of parameters, each set is stored in folder named ("/tp-0.22-tpp0.14" for t'=-0.22, t''=0.14 and "/tp-0.17-tpp0.13" for t'=-0.17 t''=0.13 ). </li>
<li>Within each folder different parameters of coulomb repulsion U, filling n and inverse temperature beta are provided. For example for U=1.25, t' = -0.17, t'' = 0.13, beta = 400, n=0.95 the subfolder is named "/chisp_omega-U1.25-tp-0.17-tpp0.13-beta400-ntot0.95". The available data range can be taken from the figures in <em>[F. Bippus et al. Phys. Rev. B. (2025) <a href="https://doi.org/10.1103/xk42-b9cx">https://doi.org/10.1103/xk42-b9cx</a>]</em></li>
<li>For eachs et of Hubbard model parameters we provide "I_QV.txt" this file includes all post processing results.<br>The rows from top to bottom correspond to:<br>(1) The quantum variance (eq.2) as presented in Fig.2 and Fig. S5<br>(2) The nuber of bosonic matsubara frequency data points provided for the susceptibility (see next bullet point)<br>(3) The index of the 0'th bosonic matsubara frequency (Julia convention i.e.: indices starting at 1, see next bullet point)<br>(4) The index of the dominant wave vector (Julia convention, see next bullet point)<br>(5) For the Ornstein Zernike (OZ) fit (eq.S7) we provide the fit parameter A=1<br>(6) OZ parameter \xi<br>(7) OZ parameter \lam<br>(8) Non relevant parameter =0<br>(9) Quantum Variance from OZ with eq.S6<br>(10) Quantum Fisher information from OZ presented in Fig.2<br>(11) Quantum Variance from OZ with eq.S5 as presented in Fig.2<br>(12) Quantum Fisher information from OZ and analytical eq.S14 as presented in Figs.1,2<br>(13) Irrelevant parameter<br>(14) Quantum Variance from OZ with eq.S5 on an extrapolated frequency box as presented in Fig.2<br>(15) Quantum Variance at the AFM wavevector q=(pi,pi) as presented in Fig. S3</li>
<li>The results above are derived from the raw susceptinbilty data. Here, within each subfolder text files for each Matsubara frequency are provided (number of frequencies given in "I_QV.txt"). The file provides a table where the entries of the different rows are:<br>(1) wavevector q_x<br>(2) wavevector q_y<br>(3) Re(\chi) from DGA<br>(4) Im(\chi) from DGA<br>(5) Re(\chi) from DMFT<br>(6) Im(\chi) from DMFT</li>
</ul>
<p>Data for the comparison with experiment can be accessed from the cited papers.</p>
ESA CCI SM FREEZE/THAW Long-term Climate Data Record of surface conditions from merged multi-satellite observations
No full text<p>This dataset was produced with funding from the European Space Agency (ESA) Climate Change Initiative (CCI) Plus Soil Moisture Project (CCN 3 to ESRIN Contract No: 4000126684/19/I-NB "ESA CCI+ Phase 1 New R&D on CCI ECVS Soil Moisture"). Project website: <a title="ESA CCI SM website" href="https://climate.esa.int/en/projects/soil-moisture/" target="_blank" rel="noopener">https://climate.esa.int/en/projects/soil-moisture/</a></p>
<p>This dataset contains information on the Surface Soil Moisture (SM) state derived from satellite observations in the microwave domain.</p>
<p>The operational (ACTIVE, PASSIVE, COMBINED) ESA CCI SM products are available at <a href="https://catalogue.ceda.ac.uk/uuid/c256fcfeef24460ca6eb14bf0fe09572/" target="_blank" rel="noopener">https://catalogue.ceda.ac.uk/uuid/c256fcfeef24460ca6eb14bf0fe09572/</a> </p>
<h2>Abstract</h2>
<p>Understanding whether the soil surface is frozen or thawed is crucial for interpreting satellite-based soil moisture measurements and for many Earth system applications. The physical state of water in the soil strongly affects its dielectric properties, which in turn determine how satellites sense moisture content. Current ESA CCI Soil Moisture products exclude data when the surface is likely frozen, as reliable retrievals are not possible under such conditions. Yet, the freeze/thaw state itself carries valuable environmental information: it reflects the changing energy and water exchange between land and atmosphere, shapes seasonal hydrological cycles, and influences agriculture, ecosystems, and climate feedbacks across much of the Northern Hemisphere.</p>
<p>This dataset provides global estimates of the soil moisture freeze/thaw state for the period from 11-1978 to 12-2024 derived from PASSIVE (radiometer) and ACTIVE (scatterometer) satellite observations within the ESA CCI Soil Moisture framework. These sensors, operating in the K- and C-band frequency range, are sensitive to surface temperature, enabling the detection of frozen versus thawed conditions at daily temporal and ~25 km spatial sampling. Data from L-band missions (e.g., SMAP, SMOS) are not included, resulting in a total number of 12 satellites.</p>
<p>The classification algorithm, described in <em>Van der Vliet et al. (2020)</em>, was originally developed to flag frozen conditions in passive soil moisture retrievals and has since evolved into a dedicated data product. It applies a decision-tree approach using multi-frequency satellite measurements to classify the surface state for each sensor. Similarly, <em>Naeimi et al. (2012</em>) have developed an algorithm based on ASCAT backscatter for freeze/thaw classification in C-band scatterometer retrievals. Individual classifications are then merged into a single spatiotemporal record using a conservative unanimity rule—if any contributing satellite detects a frozen surface, the merged product is classified as “frozen.”</p>
<p>While this approach ensures reliability, it may lead to some over-flagging, which could be refined in future versions. The current product achieves an estimated accuracy of 75% against in situ surface temperature observations and 92% compared to ERA5 reanalysis data.</p>
<h3>Summary</h3>
<ul>
<li>Daily binary (true/false) freeze/thaw surface soil moisture state classification dataset (~25 km spatial sampling) for the period November 1978 to December 2024.</li>
<li>Based on a satellite brightness temperature (K-band) classification algorithm (<em>Van der Vliet et al., 2020</em>) from 12 satellite radiometers and a satellite backscatter (C-band) classification algorithm (<em>Naeimi et al., 2012</em>).</li>
<li>A pixel is classified as "frozen" if it was classified accordingly for at least one satellite. This can lead to potential over-flagging in the current version.</li>
<li> Approximately 75% agreement with in situ surface temperature measurements (<em>Dorigo et al., 2021</em>) and<strong> </strong>92% with ERA5-Land reanalysis temperature fields (<em>Muñoz-Sabater et al., 2021</em>)</li>
</ul>
<h2>Programmatic (bulk) download</h2>
<p>You can use command-line tools such as <a href="https://www.gnu.org/software/wget/" target="_blank" rel="noopener">wget</a> or <a href="https://curl.se/" target="_blank" rel="noopener">curl</a> to download (and extract) data for multiple years. The following command will download and extract the complete data set to the local directory <em>~/Download</em> on Linux or macOS systems.</p>
<blockquote>
<div>
<pre>#!/bin/bash<br><br># Set download directory<br>DOWNLOAD_DIR=~/Downloads<br><br>base_url="https://researchdata.tuwien.at/records/m3g2x-a6958/files"<br><br># Loop through years 1978 to 2024 and download & extract data<br>for year in {1978..2024}; do<br> echo "Downloading year.zip..."<br> wget -q -P "DOWNLOAD_DIR" "year.zip"<br> unzip -o "year.zip" -d DOWNLOAD_DIR<br> rm "DOWNLOAD_DIR/$year.zip"<br>done</pre>
</div>
</blockquote>
<h2>Data details</h2>
<h3>Filename template</h3>
<p>The dataset provides global daily estimates for the 1978-2024 period at 0.25° (~25 km) horizontal grid resolution. Daily images are grouped by year (YYYY), each subdirectory containing one netCDF image file for a specific day (DD) and month (MM) of that year in a 2-dimensional (longitude, latitude) grid system (CRS: WGS84). The file name follows the convention:</p>
<blockquote>
<p>ESACCI-SOILMOISTURE-L3S-FT-YYYYMMDD000000-fv09.2.nc</p>
</blockquote>
<h3>Data Variables</h3>
<p>Each netCDF file contains 3 coordinate variables</p>
<ul>
<li><strong>lon</strong>: longitude (WGS84), [-180,180] degree W/E</li>
<li><strong>lat</strong>: latitude (WGS84), [-90,90] degree N/S</li>
<li><strong>time: </strong>datetime, encoded as "number of days since 1970-01-01 00:00:00 UTC"</li>
</ul>
<p> and the following data variables</p>
<ul>
<li><strong>ft</strong>: (int) Soil moisture freeze-thaw state binary indicator (0=not frozen, 1=frozen, -1=missing data)</li>
<li><strong>ft_agreement</strong> (float): Classification agreement between available sensors. 1 means that the frozen/unfrozen classification was the same for all merged sensors. The number decreases as the classification results between available satellites contradict.</li>
<li><strong>sensor_count</strong> (int): Total number of merged sensors/overpasses</li>
<li><strong>sensor_count_frozen</strong> (int): Total number of measuring sensors/overpasses that detected frozen soils</li>
<li><strong>mode</strong>: (int) Indicator for satellite orbit(s) used in the retrieval (1=ascending, 2=descending, 3=both, 0=missing data)</li>
<li><strong>sensor</strong>: (int) Indicator for satellite sensor(s) used in the retrieval. For more details, see netcdf attributes.</li>
</ul>
<p>Additional information for each variable is given in the netCDF attributes.</p>
<h3>Version Changelog</h3>
<p>Changes in <em>v9.2</em> (first released version):</p>
<ul>
<li>This version applies the classification algorithms described by <em>Van der Vliet et al. (2020) </em>and <em>Naeimi et al. (2012)</em> to 17 sensors and a unanimous merging approach. Covers the period from 11-1978 to 12-2024.</li>
</ul>
<h3>Software to open netCDF files</h3>
<p>These data can be read by any software that supports Climate and Forecast (CF) conform metadata standards for netCDF files, such as:</p>
<ul>
<li><a title="xarray" href="https://github.com/pydata/xarray" target="_blank" rel="noopener">Xarray</a> (Python)</li>
<li><a title="netCDF4" href="https://unidata.github.io/netcdf4-python/" target="_blank" rel="noopener">netCDF4</a> (Python)</li>
<li><a title="esa_cci_sm" href="https://github.com/TUW-GEO/esa_cci_sm" target="_blank" rel="noopener">esa_cci_sm</a> (Python)</li>
<li>Similar tools exist for other programming languages (Matlab, R, etc.)</li>
<li>Software packages and GIS tools can open netCDF files, e.g. <a href="https://code.mpimet.mpg.de/projects/cdo" target="_blank" rel="noopener">CDO</a>, <a href="http://nco.sourceforge.net/" target="_blank" rel="noopener">NCO</a>, <a href="https://www.qgis.org/" target="_blank" rel="noopener">QGIS</a>, ArcGIS</li>
<li>You can also use the GUI software <a href="https://www.giss.nasa.gov/tools/panoply/" target="_blank" rel="noopener">Panoply</a> to view the contents of each file</li>
</ul>
<h2>Related Records</h2>
<p>This record and all related records are part of the <a href="https://researchdata.tuwien.ac.at/communities/soilmoisture-climaterecords/records" target="_blank" rel="noopener">ESA CCI Soil Moisture science data records community</a>.</p>
La Traditora (A-Wn_Mus.Hs._18827_n11) 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 "La Traditora", 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 "La Traditora" and the id "A-Wn_Mus.Hs._18827_n11" in the e-lautedb. It is found on the page(s) or folio(s) 10v-11r in the source "[Lautenbuch, italienische Lautentabulatur]" with the source-id "A-Wn_Mus.Hs._18827".</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.A-Wn_Mus.Hs._18827/methods/sdef:TEI/get?mode=n11" target="_blank">https://edition.onb.ac.at/fedora/objects/o:lau.A-Wn_Mus.Hs._18827/methods/sdef:TEI/get?mode=n11</a>.</p><p>Links to the source: <a href="http://data.onb.ac.at/rec/AC14316439" target="_blank">http://data.onb.ac.at/rec/AC14316439</a>, <a href="https://opac.rism.info/id/rismid/rism600141783" target="_blank">https://opac.rism.info/id/rismid/rism600141783</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>