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        <identifier>oai:researchdata.se:2025-377/2</identifier>
        <datestamp>2026-03-04</datestamp>
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          <dc:type>http://purl.org/dc/dcmitype/Dataset</dc:type>
          <dc:identifier>https://doi.org/10.5878/5xp8-g969</dc:identifier>
          <dc:title xml:lang="en">Towards Ultimate NMR Resolution with Deep Learning</dc:title>
          <dc:title xml:lang="sv">Towards Ultimate NMR Resolution with Deep Learning</dc:title>
          <dc:creator>https://orcid.org/0000-0003-1325-6024</dc:creator>
          <dc:creator>https://orcid.org/0000-0002-7892-6896</dc:creator>
          <dc:subject xml:lang="en">Bioinformatics (Computational Biology)</dc:subject>
          <dc:subject xml:lang="sv">Bioinformatik (beräkningsbiologi)</dc:subject>
          <dc:subject xml:lang="en">Structural Biology</dc:subject>
          <dc:subject xml:lang="sv">Strukturbiologi</dc:subject>
          <dc:subject xml:lang="en">Bioinformatics and Computational Biology</dc:subject>
          <dc:subject xml:lang="sv">Bioinformatik och beräkningsbiologi</dc:subject>
          <dc:subject xml:lang="en">Biophysics</dc:subject>
          <dc:subject xml:lang="sv">Biofysik</dc:subject>
          <dc:subject xml:lang="en">Molecular Biology</dc:subject>
          <dc:subject xml:lang="sv">Molekylärbiologi</dc:subject>
          <dc:description xml:lang="en">The dataset contains processed solution-state protein NMR spectra of MALT1 (45 kDa), Azurin (14 kDa), and Tau (disordered, 45.8 kDa), derived from experimentally recorded 2D and 3D data obtained in earlier studies and published previously:
 (1) DOI: 10.1371/journal.pone.0146496;  DOI: 10.1007/s12104-022-10105-3; 
(2) DOI: 10.1110/ps.0225403;  
(3) DOI: 10.1002/anie.202102758
All processed data are stored in NMRPipe format (.ft2 and .ft3 files) and were generated using standard NMR processing procedures. The data can be read and visualized using NMRPipe-compatible software, such as NMRPipe (https://www.ibbr.umd.edu/nmrpipe/), the nmrglue Python package (https://github.com/jjhelmus/nmrglue), or other software supporting the NMRPipe format, including CCPN 3.0 (https://ccpn.ac.uk/) and later versions. These processed spectra are used as input files for AI-based methods to improve NMR spectral resolution.</dc:description>
          <dc:description xml:lang="sv">Datamängden innehåller bearbetade lösningstillstånds-protein-NMR-spektra för MALT1 (45 kDa), Azurin (14 kDa) och Tau (ostrukturerat, 45,8 kDa), härledda från experimentellt inspelade 2D- och 3D-data som erhållits i tidigare studier och publicerats tidigare:
(1) DOI: 10.1371/journal.pone.0146496; DOI: 10.1007/s12104-022-10105-3;
(2) DOI: 10.1110/ps.0225403;
(3) DOI: 10.1002/anie.202102758.

All bearbetad data lagras i NMRPipe-format (.ft2- och .ft3-filer) och har genererats med hjälp av standardiserade NMR-bearbetningsprocedurer. Datan kan läsas och visualiseras med programvara som är kompatibel med NMRPipe, såsom NMRPipe (https://www.ibbr.umd.edu/nmrpipe/
), Python-paketet nmrglue (https://github.com/jjhelmus/nmrglue
) eller annan programvara som stöder NMRPipe-formatet, inklusive CCPN 3.0 (https://ccpn.ac.uk/
) och senare versioner. Dessa bearbetade spektra används som indatafiler för AI-baserade metoder för att förbättra NMR-spektral upplösning.</dc:description>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>https://creativecommons.org/licenses/by-nc/4.0/</dc:rights>
          <dc:publisher xml:lang="en">University of Gothenburg</dc:publisher>
          <dc:publisher xml:lang="sv">Göteborgs universitet</dc:publisher>
          <dc:date>2026-03-04T10:39:37.525111Z</dc:date>
          <dc:language>eng</dc:language>
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