Research Data Repository of Saxon Universities

OPARA is the Open Access Repository and Archive for Research Data of Saxon Universities.


Researchers of Saxon Universities can either publish their research data on OPARA, or archive it here to comply with requirements of funding acencies and good scientic practice, without public access.

You can find the documentation of this service at the ZIH Data Compendium websites. If you need suppourt using OPARA please contact the Servicedesk of TU Dresden.

Please note: The OPARA service was recently upgraded to a new technical platform (this site). Previously stored data will not be available here immediately. It can be found at the still active old version of OPARA. These stock data will be migrated in near future and then the old version of OPARA will finally be shut down. Existing DOIs for data publications remain valid.

Artwork based on 1, 2, 3, 4  @pixabay
 

Recent Submissions

Item
Open Access
Data for Stability of Bogoliubov Fermi surfaces within BCS theory
(Technische Universität Dresden, 2024-11-06) Bhattacharya, Ankita; Timm, Carsten
This archive contains the data plotted in the paper A. Bhattacharya and C. Timm, Stability of Bogoliubov Fermi surfaces within BCS theory, Phys. Rev. B 107, L220501 (2023) and its Supplemental Material. For this paper, the superconducting gap and the energy gain in the superconducting state relative to the normal state were obtained by solving the inverse BCS gap equation. The required integrals over the Brillouin zone were performed using global-adaptive integrations with high precision in Mathematica.
Item
Open Access
Data Underpinning: Magnetic phase diagram of rouaite, Cu₂⁢(OH)₃⁢NO₃
(Technische Universität Dresden, 2024-11-04) Peets, Darren Campbell; Mannathanath Chakkingal, Aswathi; Kulbakov, Anton A.; Grumbach, Justus; Pavlovskii, Nikolai S.; Stockert, Ulrike; Parui, Kaushick Krishnakanta; Avdeev, Maxim; Kumar, Ramender; Niwata, Issei; Häußler, Ellen; Gumeniuk, Roman; Stewart, J. Ross; Tellam, James P.; Pomjakushin, Vladimir; Granovsky, Sergey; Doerr, Mathias; Hassinger, Elena; Zherlitsyn, Sergei; Ihara, Yoshihiko; Inosov, Dmytro S.
This contains the data underpinning our recent paper on rouaite, Cu₂⁢(OH)₃⁢NO₃, published in Phys. Rev. B 110, 054442 (2024). The abstract of the article is reproduced below: Spinon-magnon mixing was recently reported in botallackite Cu2⁢(OH)3⁢Br with a uniaxially compressed triangular lattice of Cu2+ quantum spins [H. Zhang et al., Phys. Rev. Lett. 125, 037204 (2020)]. Its nitrate counterpart rouaite, Cu2⁢(OH)3⁢NO3, has a highly analogous structure and might be expected to exhibit similar physics. To lay a foundation for research on this material, we clarify rouaite's magnetic phase diagram and identify both low-field phases. The low-temperature magnetic state consists of alternating ferromagnetic and antiferromagnetic chains, as in botallackite, but with additional canting, leading to net moments on all chains which rotate from one chain to another to form a 90∘ cycloidal pattern. The higher-temperature phase is a helical modulation of this order, wherein the spins rotate from one Cu plane to the next. This extends to zero temperature for fields perpendicular to the chains, leading to a set of low-temperature field-induced phase transitions. Rouaite may offer another platform for spinon-magnon mixing, while our results suggest a delicate balance of interactions and high tunability of the magnetism.
Item
Open Access
Diffusion data of vertical partitioning of CO2 production in a forest soil
(Technische Universität Dresden, 2024-10-29) Wordell-Dietrich, Patrick
This dataset serves as a supplement to the 2020 publication (https://doi.org/10.5194/bg-17-6341-2020), providing detailed data for the determination of diffusion coefficients in core cylinders. Included are measurement results of bulk density and diffusivity as a function of the water content within the cylinders as well as the pF relation.
Item
Open Access
Longitudinal Concrete Analysis Data
(Technische Universität Dresden, 2024-10-28) Duran Vergara, Laura Camila; Leicht, Lena; Beckmann, Birgit; Maas, Hans-Gerd
The "Longitudinal Concrete Analysis" dataset contains ultrahigh-speed image sequences of concrete surface cylinders under compression testing in a split Hopkinson pressure bar (SHPB) setup, captured with a Kirana7M camera at frame rates between 1 million and 2 million frames per second (Mfps). A Bézier fitting filtering method has been applied to the raw images to correct for inherent image lag errors of the Kirana7M, enabling proper material analysis based using one-dimensional wave theory. The primary use of this dataset is to estimate the longitudinal wave propagation velocity during the first stress wave transit, achieved through the development of an image-sequence-based approach for selecting stress-wave-induced motion points. Additionally, the dataset is used for the estimation of various material properties, including global deformation, concrete velocity, strain, and stress. Strain measurements obtained through the well-established strain gauge technique—commonly used in split Hopkinson bar testing for material analysis—are also provided within the dataset, for validation of the ultrahigh-speed image sequence analysis.
Item
Unknown
Datasets for paper "ReACKed QUICer: Measuring the Performance of Instant Acknowledgments in QUIC Handshakes"
(Technische Universität Dresden, 2024-10-28) Mücke, Jonas; Nawrocki, Marcin; Hiesgen, Raphael; Schmidt, Thomas C.; Wählisch, Matthias
This dataset contains Qlog and packet captures to measure the Performance of Instant Acknowledgements in (i) an emulated testbed and (ii) CDNs. See https://doi.org/10.5281/zenodo.13743301 Abstract: In this paper, we present a detailed performance analysis of QUIC instant ACK, a standard-compliant approach to reduce waiting times during the QUIC connection setup in common CDN deployments. To understand the root causes of the performance properties, we combine numerical analysis and the emulation of eight QUIC implementations using the QUIC Interop Runner. Our experiments comprehensively cover packet loss and non-loss scenarios, different round trip times, and TLS certificate sizes. To clarify instant ACK deployments in the wild, we conduct active measurements of 1M popular domain names. For almost all domain names under control of Cloudflare, Cloudflare uses instant ACK, which in fact improves performance. We also find, however, that instant ACK may lead to unnecessary retransmissions or longer waiting times under some network conditions, raising awareness of drawbacks of instant ACK in the future.