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    512 research outputs found

    En lombre (Ger_1533-1_n42) Audio recording

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    <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 "En lombre", 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 "En lombre" and the id "Ger_1533-1_n42" in the e-lautedb. It is found on the page(s) or folio(s) XLVr-XLVv in the source "Tabulatur auff die Laudten" with the source-id "Ger_1533-1".</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.Ger_1533-1/methods/sdef:TEI/get?mode=n42" target="_blank">https://edition.onb.ac.at/fedora/objects/o:lau.Ger_1533-1/methods/sdef:TEI/get?mode=n42</a>.</p><p>Links to the source: <a href="http://resolver.staatsbibliothek-berlin.de/SBB0001F5B500000000" target="_blank">http://resolver.staatsbibliothek-berlin.de/SBB0001F5B500000000</a>, <a href="https://opac.rism.info/rism/Record/rism993104093" target="_blank">https://opac.rism.info/rism/Record/rism993104093</a>, <a href="https://gateway-bayern.de/VD16+G+1578" target="_blank">https://gateway-bayern.de/VD16+G+1578</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&gt

    Proof of Concept: JUNON Digital Twin (v1.4c)

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    <h2>Proof of Concept: JUNON Digital Twin (v1.4)</h2> <h3>Context and methodology</h3> <p><a href="https://www.junon-cvl.fr/fr" target="_blank" rel="noopener">JUNON</a> is an ambitious research programme to develop a digital research cluster on the continental environment (agricultural, urban, forestry and river) in the Centre-Val de Loire region, France. This cluster aims to design digital services to improve the monitoring and understanding of the environment, for better management of natural resources.</p> <p>This repository contains a proof of concept (PoC) of the JUNON Digital Twin. It tests some planned parts of DT, data exchange protocols, communication processes and services. The PoC is built on dockerized modules that can be executed on a single machine. It is formed by a <a href="https://www.fiware.org/" target="_blank" rel="noopener">FIWARE</a> network that includes the following components: Data Manager, Scheduler, Web Application, MongoDB, Orion Context Manager, Cygnus, and STH-Comet. External repositories (<a href="https://donneespubliques.meteofrance.fr/?fond=produit&id_produit=230&id_rubrique=40" target="_blank" rel="noopener">MétéoFrance-Safran</a>, <a href="https://hubeau.eaufrance.fr/page/api-piezometrie" target="_blank" rel="noopener">Hubeau-ADEs</a> and <a href="https://python-visualization.github.io/folium/latest/" target="_blank" rel="noopener">Folium</a>) are connected through official APIs. The developed PoC serves a use case in which the DT collects and manipulates data related to 53 piezometric sensors from strategic locations in the Centre-Val de Loire selected by expert hydrologists. They collect data of aquifer water levels (<a href="https://hubeau.eaufrance.fr/page/api-piezometrie" target="_blank" rel="noopener">Hubeau-ADEs</a>). Additionally, this information is combined with weather/climate measurements and estimations (<a href="https://donneespubliques.meteofrance.fr/?fond=produit&id_produit=230&id_rubrique=40" target="_blank" rel="noopener">MétéoFrance-Safran</a>). <a href="https://python-visualization.github.io/folium/latest/" target="_blank" rel="noopener">Folium</a> repositories are accessed to obtain interactive geographic maps.</p> <p>The database contains data from January 2020 to July 2025 by default, although users can easily extend or reduce the temporal coverage. The DT prototype provides services for: (a) historical data visualization, (b) time series forecasting with or without exogenous inputs, (c) clustering of multivariate time series, and (d) spatial interpolation of two-dimensional water-level maps. Users access the PoC services through a Flask/Dash application.</p> <h3>Technical details</h3> <ul> <li>[docker] contains the Dockerfile and docker-compose.yml to build the FIWARE network with the MongoDB, Orion Context Manager, Cygnus, and STH-Comet components as well as a debian-based system component with Python to run the Data Manager, Scheduler and Web Application components.</li> <li>[db] contains the default MongoDB with data from 2020 to 2025 (shared local volume).</li> <li>[data_manager] contains scripts to run the Data Manager (shared local volume).</li> <li>[scheduled] contains scripts to run the Scheduler (shared local volume).</li> <li>[webapp] contains scripts to run the Web Application (shared local volume).</li> <li>"README.md" contains documentation and instructions.</li> </ul> <p>All data files are licensed under CC BY 4.0, all software is licensed under MIT License.</p&gt

    FreiRad questionnaire survey of Austrian elementary school teachers on the voluntary cycling test

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    <h2>Survey motivation</h2> <p>A consortium comprising of the consultancies (1) klarFakt and (2) stape e.U. URBAN CONSULTING together with (3) Research center of Transport Planning and Traffic Engineering at TU Wien was commissioned by the Austrian federal Climate and Energy Fund to study the status quo of the Austrian voluntary cycling test for children.</p> <p>Within this study named "FreiRad - Voluntary Cycling Test for All Children" parents of school children were surveyed for their and their children's experiences with the voluntary cycling test. While this test is not compulsory, its successful completion allows children to cycle independently from the age of 10 onwards. In general, the Austrian road code permits independent cycling from the age of 12.</p> <h2>Survey implementation</h2> <p>The online survey was implemented using the online polling tool www.surveymonkey.com.<br>For different distribution methods different collector URLs were implemented - leading to the exact same survey. <br>The survey was disseminated to potential participants via following methods/channels:</p> <ul> <li>Through email addresses of all elementary schools that were provided by the Austrian Federal Ministry of Education. School principals were kindly asked to distribute the survey URL among their teachers.</li> <li>By sharing the survey URL over the consortium members' social media channels (Facebook, Twitter, LinkedIn) and asking elementary school teachers to participate and to snowball the survey to other elementary school teachers.</li> </ul> <h2>Survey duration</h2> <p>The survey was accessible during ten days in May of 2022.</p> <h2>Project funding</h2> <p>Large parts of his research were funded by Kommunalkredit Public Consulting GmbH within the funding scheme “Nachhaltige Mobilität in der Praxis” in the project “Freiwillige Radfahrprüfung für alle Kinder – FreiRad” (contract number: KR20NM0K18478).</p> <h2>Files</h2> <p>(1) Survey questions in German: 2022-05-11_fragebogen_LuL_final.pdf<br>(2) File of all participants' answers in German: 2022-07-20_LuL_alle-antworten_numerisch_final_DE_ex-Jahr.xlsx<br>(3) Translation file for questions and answers from German to English: 2025-07-17_LuL_fragen+antworten_uebersetzung-DE-EN_final.xlsx</p> <h2>Data privacy</h2> <p>From file (2) the participant's year of birth was deleted for reasons of data protection and replaced with an age bin.</p><p>Documentation: https://www.stape.eu/2023/freirad-jetzt-handeln/ (URL) <br>Report: https://www.stape.eu/wp-content/uploads/2023/03/FreiRad_Endbericht_2023-03-27_inklAnnex.pdf (URL) </p&gt

    Research data for "Cleavable silyl ether monomers with elevated thermomechanical properties for bone regeneration"

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    <p><strong><em><span lang="EN-GB">C</span>ontext</em></strong></p> <p>This dataset was created from original work conducted in the framework of a PhD project and compiled in a publication (<em>"<a href="https://doi.org/10.1021/acsabm.5c01174" target="_blank" rel="noopener">Cleavable silyl ether monomers with elevated thermomechanical properties for bone regeneration</a></em><span lang="EN-GB">“, doi: 10.1021/acsabm.5c01174</span>). It provides the raw data of the results presented and discussed therein.</p> <p> </p> <p><strong><em>Technical details</em></strong></p> <p><em><span lang="EN-GB">MS Excel file „Raw Data_</span></em> <em><span lang="EN-GB">Cleavable silyl ether monomers”</span></em></p> <p><span lang="EN-GB">Tab 1 – “Figure 2” Raw Data (triplicates) obtained for real-time NIR photorheology of NSE-TSE, VCH-TCH, VCH-TSE and NSE-TCH </span></p> <p><span lang="EN-GB">Tab 2 – “Figure 3” Raw Data obtained for DMTA measurements of NSE-TSE, VCH-TCH, VCH-TSE and NSE-TCH </span></p> <p><span lang="EN-GB">Tab 3 – “Figure 4” Raw Data obtained for tensile tests of NSE-TSE, VCH-TCH, VCH-TSE and NSE-TCH </span></p> <p><span lang="EN-GB">Tab 4 – “Figure 5” Raw Data obtained for hydrolytic degradation of NSE-TSE, VCH-TCH, VCH-TSE and NSE-TCH at pH 4, 7.4 and 10</span></p> <p><span lang="EN-GB">Tab 5 – “Figure 6” Raw Data obtained for cytotoxicity of NSE-TSE, VCH-TCH, VCH-TSE and NSE-TCH </span></p> <p><span lang="EN-GB">Tab 6 – “Figure S15” Raw Data obtained for UHPLC-MS chromatogram (ELSD detection) of TSE</span></p> <p><span lang="EN-GB">Tab 7 – “Figure S16” Raw Data obtained for mass spectrum (D-) at retention time 1.78 mins of TSE</span></p> <p><span lang="EN-GB">Tab 8 – “Figure S17” Raw Data obtained for UHPLC-MS chromatogram (ELSD detection) of NSE</span></p> <p><span lang="EN-GB">Tab 9 – “Figure S18” Raw Data obtained for mass spectrum (D+) at retention time 1.78 mins of NSE</span></p> <p><span lang="EN-GB">Tab 10 – “Figure S19” Raw Data obtained for UHPLC-MS chromatogram (ELSD detection) of NM-dimer</span></p> <p><span lang="EN-GB">Tab 11 – “Figure S20” Raw Data obtained for mass spectrum (D+) at retention time 1.69 mins of NM-dimer</span></p> <p><span lang="EN-GB">Tab 12 – “Figure S21” Raw Data obtained for mass spectrum (D+) at retention time 1.79 mins of NM-dimer</span></p> <p><span lang="EN-GB">Tab 13 – “Figure S22” Raw Data obtained for mass spectrum (D+) at retention time 1.94 mins of NM-dimer</span></p> <p><span lang="EN-GB">Tab 14 – “Figure S30” Raw Data obtained for Jacobs’ working curve</span></p> <p><em><span lang="EN-GB">NMR zip file</span></em></p> <p><span lang="EN-GB">NMR data obtained during all synthesis steps of the silyl ether monomers NSE and TSE, the non-cleavable monomer TCH and the network degradation product NM-dimer used herein. A software to display NMR-spectra is needed, such as <a href="https://mestrelab.com/download/mnova/">MestreNova</a> or <a href="https://www.bruker.com/en/products-and-solutions/mr/nmr-software/topspin.html">Topspin</a>.</span></p> <p><em><span lang="EN-GB">Compound descriptions</span></em></p> <p><span lang="EN-GB">Compound descriptions in the files included herein adhere to the naming in the related publication referenced in the Related Works section, where all compounds are described in detail and drawn as structural formulas. In brief:</span></p> <p><span lang="EN-GB">NMTA: C-methyl (hydroxymethyl)-2-norbornanecarbothioate</span></p> <p><span lang="EN-GB">NMT: (mercapto-2-norbornanyl)methanol</span></p> <p><span lang="EN-GB">TSE: 6-((bis((6-mercapto-2-norbornanyl)methoxy)(methyl)siloxy)methyl)-2-norbornanethiol</span></p> <p><span lang="EN-GB">NSE: methyltris((5-norbornen-2-yl)methoxy)silane</span></p> <p><span lang="EN-GB">TACH: C-methyl3-(2,4-bis(2-[(methylthio)carbonyl]ethylcyclohexyl)¬propane¬thioate</span></p> <p><span lang="EN-GB">TCH: 2-[2,4-bis(2-mercaptoethyl)cyclohexyl]ethanethiol</span></p> <p><span lang="EN-GB">NM-dimer: (6-[6-(hydroxymethyl)-2-norbornanylthio]-2-norbornanyl)methanol</span></p> <p> </p> <p><em><strong><span lang="EN-GB">Abstract</span></strong></em><span lang="EN-GB"><em> </em>(English):</span></p> <p><span lang="EN-GB">Over the last years, stereolithography developed to be one of the most promising fabrication techniques in tissue engineering. Posing the possibility to fabricate patient-specific, porous implants, it became especially attractive for scaffold fabrication for the treatment of critical sized bone defects. State-of-the-art photopolymer systems mostly consist of potentially cytotoxic compounds, such as (meth)acrylates, that furthermore show insufficient degradation and lead to acidic degradation products that could induce adverse tissue reactions. Herein, we introduced trifunctional monomers comprising cleavable silyl ether groups for thiol-ene photopolymerization to enlarge the material platform for printed bone grafts. Polymer networks comprising a high number of silyl ether moieties typically tend to be mechanically weak and exhibit low T<sub>g</sub>s, especially when combined with thioether bonds, which are a direct result of polymerization via thiol-ene click reaction. To push thermomechanical properties to a level where they are sufficient for bone grafting (T<sub>g</sub> > 37 °C), we introduced rigid bridged alicyclic structures in the form of norbornane-derived motifs into the silyl ether monomers, resulting in a norbornene-containing double bond monomer and a norbornane-derived thiol monomer. Together with non-cleavable comonomers, we were able to demonstrate a substantial increase in T<sub>g</sub> up to 62 °C, which is well above the values reported until now for similar thiol-ene networks. Furthermore, in this study, we demonstrated high photoreactivity for some of the monomers and also successfully performed proof-of-concept printing using a DLP setup. Besides excellent thermomechanical behavior, the mechanical strength of the silyl ether-based polymer network showed to be outstanding. Cleavability of the silyl ethers was displayed with a quasi-linear degradation rate of 6.5 % per month with moderate swelling. Additionally, the degradation product of the silyl ether-based network was isolated and shown to exhibit no relevant cytotoxicity to mouse fibroblast cells.</span></p&gt

    Data for "Entanglement across scales: Quantics tensor trains as a natural framework for renormalization"

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    <p>This dataset contains the Supplemental Material, original figures, numerical (raw) data and plot scripts to reproduce the results from the publication <em>"Entanglement across scales: Quantics tensor trains as a natural framework for renormalization"</em> at Physical Review Research. The preprint is available on arXiv. All materials required to regenerate the figures and verify the numerical results are included. Information is also provided in the <code>README.txt</code>.</p> <h3>Background</h3> <p>This study looks at how entanglement behaves across different length scales—a part of quantum physics that hasn’t been explored as much as entanglement between individual sites or particles. The authors show that the quantics tensor train (QTT) decomposition, which is related to matrix product states, naturally fits the role of a renormalization group method. By connecting a cyclic-reduction real-space renormalization procedure to the QTT framework, they establish a clear link between the QTT bond dimension (which measures entanglement across scales) and the number of effective couplings that appear at each coarse-graining step. The dataset contains numerical and semi-analytical results for a one-dimensional tight-binding model with n-th-nearest-neighbor hopping, where the structure of the renormalization flow mirrors the QTT bond dimension of the Green’s function.</p> <h3>Structure</h3> <p>The dataset is organized into:</p> <ul> <li><code>figure_X/</code><strong> </strong>directories:<br>Each contains <ul> <li> <p>the original figure (<code>figure_X.pdf</code>),</p> </li> <li> <p>the plot script used to generate it (<code>.jl</code>),</p> </li> <li> <p>and the corresponding raw numerical data. In some cases, additional subdirectories store data for different parameter settings.<br><br></p> </li> </ul> </li> <li> <p><code>Supplemental_Material/</code>: Contains two Mathematica notebooks with the detailed analytical derivations referenced in the paper.</p> </li> </ul> <h3>Technical Details</h3> <p>The numerical computations and plotting scripts were created using:</p> <ul> <li><strong>Julia (v1.10.10)</strong> with the following non-standard packages:<br>DelimitedFiles v1.9.1, CairoMakie v0.15.5, HDF5 v0.17.2, LaTeXStrings v1.4.0, CurveFit v0.6.1, QuadGK v2.11.2, DataFrames v1.8.1<br>The data generation used the publicly available tensor libraries <strong>tensor4all</strong> and <strong>ITensors</strong>.</li> <li><strong>Wolfram Mathematica (v14.1)</strong> for the analytical calculations contained in the supplemental notebooks<strong>.</strong></li> </ul> <h3>Licensing</h3> <p>The CC-BY 4.0 license applies to all the data and PDF files. All distributed code is licensed under the MIT license.</p&gt

    K21-1412

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    <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>Inscribed sealing</p> <h3>Object number(s)</h3> <p>LN1538; K21-1412</p> <h3>Description</h3> <p>almost complete inscribed sealing</p> <h3>Location of object at time of photographs</h3> <p>MoTA storage</p> <h3>Find location</h3> <p>Tomb Y; Y-5 (Petrie), Y-KK5 (DAI); context L22 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&gt

    K21-1772

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    <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>LN1892; K21-1772</p> <h3>Description</h3> <p>fragment of a mud sealing with textile or wood impression on underside with remains of rope preserved, possibly with impression</p> <h3>Location of object at time of photographs</h3> <p>MoTA storage</p> <h3>Find location</h3> <p>Tomb Y; Y-7 (Petrie), Y-KK7 (DAI); context L27 S2</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&gt

    In vitro and in vivo characterization of a new-to-nature pathway for formaldehyde assimilation in methylotrophic yeast Komagataella phaffii

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    <p>This repository contains the raw data, processed data used for analysis, and the scripts for generating the figures and tables presented in the manuscript, <strong><em><span lang="EN-US">In vitro</span></em></strong><strong><span lang="EN-US"> and <em>in vivo</em> characterization of a new-to-nature pathway for formaldehyde assimilation in methylotrophic yeast <em>Komagataella phaffii.</em></span></strong></p> <p>Fig 2. A was visualized from the data files "Chi.Bio_FLS pool (MeOH).xlsx" and "Chi.Bio_XuMP– (MeOH).xlsx".  Fig 2. B was visualized from the data file "Chi.Bio_FLS pool (MeOH+DHA).xlsx". Fig 2. C was visualized from the data file "Chi.Bio_XuMP– (MeOH+DHA).xlsx". Fig 2. D was visualized from the data files "Chi.Bio_FLS pool (MeOH+DHA).xlsx" and "Chi.Bio_XuMP– (MeOH+DHA).xlsx".</p> <p>Fig 3. D was visualized from the data file "LC_MS_DHA_R.xlsx" and using the R script "DHA measurement and visualization (Fig. 3D)". Fig 3. E was visualized from the data file "LC_MS_GALD_R.xlsx" and using the R script "GALD measurement and visualization (Fig. 3E)".</p> <p>Fig 4. A, B, C, D, E, and F were visualized from the data files "AOX1.csv", "AOX2.csv", "FLS.csv", "DAS1.csv", "DAS2.csv" "DAK2.csv", respectively and using the Python script "Protein intensities from proteomics data (Fig 4. A, B, C, D, E, F)".</p> <p>Fig 5. A was calculated and visualized from the data file "DASGIP_DATAFILE_RS.xlsx" and using the R script "DASGIP2 DCW visualization (Fig 5. A)". Fig 5. B was calculated and visualized from the data file "MeOHCon.xlsx" using the R script "DASGIP2 MeOH visualization (Fig. 5. B)". Fig 5. C was calculated and visualized from the data file "MeOH.xlsx" and using the R script "DASGIP2 MeOH visualization (Fig. 5. C)". Table 2 is calculated from the raw data in the file "DASGIP_DATAFILE_RS.xlsx".csv".</p> <p>Table 2 was calculated from the raw data in the file "DASGIP_DATAFILE_RS.xlsx".csv".</p> <p>Fig S2 was calculated and visualized from the data file "Kphaffiiproteom.xlsx" and using the R script "PCA analysis of proteomics data (Fig. S1)". Fig S3 was calculated and visualized from the data file "Proteomics_strains_log2_FC.csv" and using the Python script "Proteomics_Log2FC_AdjPvalue_Volcano plot". Table S7 was calculated from the raw data in the file "43_K_phaffi_proteome_analysis.xlsx". </p> <p><span lang="EN-US">Note: This is an updated version of the previous one. Some files not mentioned in the publication have been removed, and new data, mainly on Chi.Bio cultivation has been added.  </span></p><p>Formolase (FLS) is the first synthetic enzyme to catalyse the formose reaction, wherein formaldehyde is converted to dihydroxyacetone (DHA). It is thus uniquely suited for the construction of synthetic methanol assimilation cascades, proceeding via methanol oxidation to formaldehyde condensation to DHA, and finally ATP-dependent conversion to dihydroxyacetonephosphate (DHAP). Compared to the native xylulose monophosphate (XuMP) cycle of methylotrophic yeasts, this pathway produces DHAP in fewer catalytic steps, without the need for acceptor recycling and at the cost of less ATP. Here, we implement FLS-based formaldehyde assimilation in Komagataella phaffii, a methylotrophic yeast used on an industrial scale to produce bioproducts, particularly proteins. To this end, an optimized FLS gene with a peroxisomal targeting signal (PTS1) under the control of a methanol-inducible promoter was integrated into the genome of a XuMP-deficient K. phaffii strain. Transformants with high copy numbers of the FLS gene produced up to 53.65 ± 2.15 µM·min-1 DHA in cell-free extract (CFE).  In small-scale bioreactor cultivation in minimal media with methanol as the carbon source, the FLS strains outgrew their parental strain, confirming the in vivo functionality of this linear methanol assimilation pathway. FLS strains also exhibited sustained growth on methanol following DHA growth phases in continuous turbidostat cultivation. This was in stark contrast to the parental strain (XuMP–), which exhibited a reduction in OD600. In the fed-batch phase of cultivations on methanol feed, the FLS-producing strain showed a biomass yield on methanol of 0.27 ± 0·09 g·g-1 and a biomass formation rate of 0.0113 g·h-1. This work lays the foundation for the implementation of a more energy-efficient methanol assimilation pathway as the basis for sustainable bioproduction in yeasts. </p&gt

    Gene expression and enzyme kinetics of polyphenol oxidases in strawberry and their possible involvement in enzymatic browning reactions in strawberry nectar

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    <p>Browning of fruit juices and nectars is a common challenge in the food industry. Polyphenol oxidase (PPO), an enzyme responsible for the oxidation of a wide range of polyphenols in plants, is believed to play a major role in this browning effect.<br>In this study, four recombinant PPOs were analyzed for their substrate specificity. Additionally, gene expression levels of these PPOs were assessed in 10 cultivars of Fragaria × ananassa across five ripening stages.<br>To investigate potential browning inhibitors, strawberry nectar was prepared with different additives:<br>•    Phloretin at concentrations of 30 and 60 µmol/L<br>•    Aubergine powder at a 1:1 w/v ratio<br>•    Clear apple juice as a substitute for water in the nectar formulation</p> <p>The dataset presented here includes raw data from the kinetic study (absorbance values).</p> <p>RT-qPCR analysis raw data represent CT values.</p> <p>Color measurements of the strawberry nectar represent change in color measured in a weekly fashion for 10 weeks. </p> <h2>Funding</h2> <p>This project has received funding by the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No. <a href="https://doi.org/10.3030/956257">956257</a>. This research was also funded in part by the Austrian Science Fund (FWF) [<a href="https://doi.org/10.55776/I6939">I6939</a>].</p&gt

    Dataset of an experimental campaign of a Digital Twin for a biomass-to-SNG pilot plant

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    <p><span>This dataset contains the results of the Digital Twin for a biomass-to-SNG pilot plant created within the <a href="https://projekte.ffg.at/projekt/3862075" target="_blank" rel="noopener">ADORe-SNG project</a></span><span>. </span></p> <h2><strong><span>Context and methodology</span></strong></h2> <ul> <li><span>A Digital Twin was created for a biomass-to-SNG pilot plant at TU Wien.</span></li> <li><span>The plant was automated and optimised using model predictive control (MPC), online process simulation and a soft sensor.</span></li> <li><span>The data presented here is the output of these software tools that controlled the plant and were presented to the operators in real time.</span></li> <li><span>The plant data stems from an excerpt of 9.5 hours from an experimental campaign in November 2023</span></li> </ul> <p><span>The dataset accompanies a publication wherein further details regarding methods can be found.</span></p> <h2><strong>Technical details</strong></h2> <ul> <li><span>The data consist of four files:</span></li> <ul> <li><span>Two CSV files with the outputs of the MPC</span></li> <ul> <li><span>Data_MPC_DFB.csv with a sampling rate of 5 seconds</span></li> <li><span>Data_MPC_Syngas.csv with a sampling rate of 1 second</span></li> </ul> <li><span>One CSV file with the results of the soft sensor</span></li> <ul> <li><span>Data_SoftSensor.csv with a sampling rate of 1 second retimed to 1 minute</span></li> </ul> <li><span>One JSON file with the inputs and outputs of the online process simulation in the software IPSEpro</span></li> <ul> <li><span>Data_IPSE.json with a sampling rate of 1 minute</span></li> </ul> </ul> <li><span>The variable names in the files are explained in the attached README.txt</span></li> </ul> <h2><strong><span>Further details</span></strong></h2> <p><span>For further details see the publication “Design and Implementation of a Digital Twin for a Biomass-to-Gas plant” by Stefan Jankovic, Lukas Stanger, Alexander Bartik, Martin Hammerschmid, Florian Benedikt, Michael Mittermayr, Matthias Binder, Martin Kozek and Stefan Müller submitted to “Applied Energy”</span></p&gt

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