TU Dresden Data Publications

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http://opara.zih.tu-dresden.de/handle/123456789/15
Data publications from research of Dresden University of Technology.

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Now showing 1 - 5 of 42
  • Item
    Open Access
    Data for "Exposing the odd-parity superconductivity in CeRh2As2 with hydrostatic pressure"
    (Technische Universität Dresden, 2024-12-03) Semeniuk, Konstantin; Pfeiffer, Meike; Landaeta, Javier F.; Nicklas, Michael; Geibel, Christoph; Brando, Manuel; Khim, Seunghyun; Hassinger, Elena
    This archive contains the data of primarily experimental origin that are plotted in the main and supplementary figures of the article "Exposing the odd-parity superconductivity in CeRh2As2 with hydrostatic pressure" by M. Pfeiffer et al., published in Physical Review B 110, L100504 (2024). The data are provided it the form of text files, and the file names indicate where the data appear in the publication. These files contain tab-separated columns of numerical values. The first row of each file reads the column names. Rounding errors may give rise to some negligible inconsistencies between the data in this archive and the article. The figure data that come from other publications are not provided here. When more than one figure contain the same set of data, it is generally only provided once, in the folder corresponding to the first figure in which that set of data appears. Additional data and details related to the article can be obtained upon a reasonable request from the following authors: Konstantin Semeniuk (konstantin.semeniuk@cpfs.mpg.de), Elena Hassinger (elena.hassinger@tu-dresden.de).
  • Item
    Open Access
    Data for "Pressure-Tuned Quantum Criticality in the Locally Noncentrosymmetric Superconductor CeRh2As2"
    (Technische Universität Dresden, 2024-12-03) Pfeiffer, Meike; Semeniuk, Konstantin; Landaeta, Javier F.; Borth, Robert; Geibel, Christoph; Nicklas, Michael; Brando, Manuel; Khim, Seunghyun; Hassinger, Elena
    This archive contains the data of experimental origin plotted in the main and supplementary figures of the article "Pressure-Tuned Quantum Criticality in the Locally Noncentrosymmetric Superconductor CeRh2As2" by M. Pfeiffer et al., published in Physical Review Letters 133, 126506 (2024). The data are provided it the form of text files, and the file names indicate where the data appear in the publication. These files contain tab-separated columns of numerical values. The first row of each file reads the column names. Rounding errors may give rise to some negligible inconsistencies between the data in this archive and the article. Additional data and details related to the article can be obtained upon a reasonable request from the following authors: Konstantin Semeniuk (konstantin.semeniuk@cpfs.mpg.de), Elena Hassinger (elena.hassinger@tu-dresden.de).
  • Item
    Open Access
    Data corresponding to publication: "Disorder effects in spiral spin liquids: Long-range spin textures, Friedel-like oscillations, and spiral spin glasses" by P. M. Consoli et al. (2024)
    (Technische Universität Dresden, 2024-12-03) Vojta, Matthias
    This dataset contains the data and scripts corresponding to the figures in the publication P. M. Consoli and M. Vojta, "Disorder effects in spiral spin liquids: Long-range spin textures, Friedel-like oscillations, and spiral spin glasses", Phys. Rev. B 109, 064423 (2024), https://doi.org/10.1103/PhysRevB.109.064423
  • Item
    Open Access
    Data corresponding to publication: "Kondo screening and coherence in kagome local-moment metals: Energy scales of heavy fermions in the presence of flat bands " by C. Kourris et al. (2024)
    (Technische Universität Dresden, 2024-12-03) Vojta, Matthias
    This dataset contains the data and scripts corresponding to the figures in the publication C. Kourris and M. Vojta, "DKondo screening and coherence in kagome local-moment metals: Energy scales of heavy fermions in the presence of flat bands", Phys. Rev. B 108, 235106 (2024), https://doi.org/10.1103/PhysRevB.108.235106
  • Item
    Open Access
    SPP100+ Research Data Management Guideline (RDM Guideline)
    (Technische Universität Dresden, 2024-12-03) Aqlan Ali, Samar Sameer Abdulla; Kang, Chongjie
    Research data management (RDM) establishes a framework for organizing research data, preventing data loss, and facilitating access to research findings. Furthermore, RDM, along with comprehensive documentation of research outcomes, enhances their durability, scientific reliability, and supports their reuse and reproducibility. In essence, RDM greatly enhances the quality and efficiency of research, fosters collaboration among researchers, and significantly boosts the discoverability and citation frequency of research findings. This document represent the research data management strategy in SPP100+ Program and works as a common agreement between subprojects on how to handle research data.