Automated Organization ProfileTechnische Universitat Braunschweig
Technische Universitat Braunschweig
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets in this organization
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the organization's datasets
Total Mentions
Total mentions of the organization's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 16.6 (sum of 11 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Research data underlying research article arXiv:2407.20780 "Vortex ratchet effect in superconductor open nanotubes and nanopetals" by I. Bogush, R. H. de Bragança, V. M. Fomin, O. V. Dobrovolskiy, obtained in the Cryogenic Quantum Electronics Division, EMG and LENA, TU Braunschweig, as part of the CA project "3DSuper" within the EXC-2123 QuantumFrontiers 390837967 funded by the German Research Foundation (DFG)
Authors
- Bogush, Igor
Research data underlying research article arXiv:2407.20780 "Vortex ratchet effect in superconductor open nanotubes and nanopetals" by I. Bogush, R. H. de Bragança, V. M. Fomin, O. V. Dobrovolskiy, obtained in the Cryogenic Quantum Electronics Division, EMG and LENA, TU Braunschweig, as part of the CA project "3DSuper" within the EXC-2123 QuantumFrontiers 390837967 funded by the German Research Foundation (DFG)
Authors
- Bogush, Igor
Research data underlying research article arXiv:2503.07162 "Vortex frequency locking and Shapiro steps in superconductor open nanotubes" by I. Bogush, V. M. Fomin, O. V. Dobrovolskiy, obtained in the Cryogenic Quantum Electronics Division, EMG and LENA, TU Braunschweig, as part of the CA project "3DSuper" within the EXC-2123 QuantumFrontiers 390837967 funded by the German Research Foundation (DFG)
Authors
- Bogush, Igor
Research data underlying research article arXiv:2503.07162 "Vortex frequency locking and Shapiro steps in superconductor open nanotubes" by I. Bogush, V. M. Fomin, O. V. Dobrovolskiy, obtained in the Cryogenic Quantum Electronics Division, EMG and LENA, TU Braunschweig, as part of the CA project "3DSuper" within the EXC-2123 QuantumFrontiers 390837967 funded by the German Research Foundation (DFG)
Authors
- Bogush, Igor
Secondary only controls for western blot(A) Microglia were primed with 100ng/ml LPS for 3 h, incubated with 1μM CRID3 or 100nM NP3-361 for 30 min and 5μM Aβ for 24 h. The lysates or (B) supernatants were prepared for immunoblot, and incubated with secondary only antibodies: goat anti-mouse 800 (used for NLRP3), goat anti-rabbit 680 (used for IL-1β) and goat anti-rat 680 (used for caspase-1). (C) The cortex of 4-, 6- and 12-month-old wild-type, APP/PS1, NLRP3-/- and APP/PS1.NLRP3-/- mice was prepared for immunoblot, and probed with secondary antibodies only. (D) Immunoblot analysis of secondary only controls from the cortex of patients with AD and non-demented, age-matched controls.
Authors
- McManus, Róisín M. ;
- Komes, Max P. ;
- Griep, Angelika ;
- Santarelli, Francesco ;
- Schwartz, Stephanie ;
- Perea, Juan Ramon ;
- Schlachetzki, Johannes C.M. ;
- Bouvier, David S. ;
- Khalil, Michelle-Amirah ;
- Lauterbach, Mario A. ;
- Heinemann, Lea ;
- Schlüter, Titus ;
- Shaban Pour, Mehran ;
- Lovotti, Marta ;
- Stahl, Rainer ;
- Duthie, Fraser ;
- Rodríguez-Alcázar, Juan F. ;
- Schmidt, Susanne V. ;
- Spitzer, Jasper ;
- Noori, Peri ;
- Maillo, Alberto ;
- Boettcher, Andreas ;
- Herron, Brian ;
- McConville, John ;
- Gomez-Cabrero, David ;
- tegner, jesper ;
- Glass, Christopher K. ;
- Hiller, Karsten ;
- Latz, Eicke ;
- Heneka, Michael
Secondary only controls for western blot(A) Microglia were primed with 100ng/ml LPS for 3 h, incubated with 1μM CRID3 or 100nM NP3-361 for 30 min and 5μM Aβ for 24 h. The lysates or (B) supernatants were prepared for immunoblot, and incubated with secondary only antibodies: goat anti-mouse 800 (used for NLRP3), goat anti-rabbit 680 (used for IL-1β) and goat anti-rat 680 (used for caspase-1). (C) The cortex of 4-, 6- and 12-month-old wild-type, APP/PS1, NLRP3-/- and APP/PS1.NLRP3-/- mice was prepared for immunoblot, and probed with secondary antibodies only. (D) Immunoblot analysis of secondary only controls from the cortex of patients with AD and non-demented, age-matched controls.
Authors
- McManus, Róisín M. ;
- Komes, Max P. ;
- Griep, Angelika ;
- Santarelli, Francesco ;
- Schwartz, Stephanie ;
- Perea, Juan Ramon ;
- Schlachetzki, Johannes C.M. ;
- Bouvier, David S. ;
- Khalil, Michelle-Amirah ;
- Lauterbach, Mario A. ;
- Heinemann, Lea ;
- Schlüter, Titus ;
- Shaban Pour, Mehran ;
- Lovotti, Marta ;
- Stahl, Rainer ;
- Duthie, Fraser ;
- Rodríguez-Alcázar, Juan F. ;
- Schmidt, Susanne V. ;
- Spitzer, Jasper ;
- Noori, Peri ;
- Maillo, Alberto ;
- Boettcher, Andreas ;
- Herron, Brian ;
- McConville, John ;
- Gomez-Cabrero, David ;
- tegner, jesper ;
- Glass, Christopher K. ;
- Hiller, Karsten ;
- Latz, Eicke ;
- Heneka, Michael
Microstructure dataset utilized in "Generative Adversarial Networks Enable Outlier Detection and Property Monitoring for Additive Manufacturing of Complex Structures, Engineering Applications of Artificial Intelligence, DOI: 10.1016/j.engappai.2024.108993, October 2024":- lattice structures in folders lattice_structures and lattice_structures_defective were employed in Section 3.1- spherical voids in folders spherical_voids and spherical_voids_perturbed were employed in Section 3.2The lattice structures are extracted from the CT scans in "Image-based numerical characterization and experimental validation of tensile behavior of octet-truss lattice structures" (https://doi.org/10.1016/j.addma.2021.101949)
Authors
- Henkes, Alexander ;
- Herrmann, Leon ;
- Wessels, Henning ;
- Kollmannsberger, Stefan
Microstructure dataset utilized in "Generative Adversarial Networks Enable Outlier Detection and Property Monitoring for Additive Manufacturing of Complex Structures, Engineering Applications of Artificial Intelligence, DOI: 10.1016/j.engappai.2024.108993, October 2024":- lattice structures in folders lattice_structures and lattice_structures_defective were employed in Section 3.1- spherical voids in folders spherical_voids and spherical_voids_perturbed were employed in Section 3.2The lattice structures are extracted from the CT scans in "Image-based numerical characterization and experimental validation of tensile behavior of octet-truss lattice structures" (https://doi.org/10.1016/j.addma.2021.101949)
Authors
- Henkes, Alexander ;
- Herrmann, Leon ;
- Wessels, Henning ;
- Kollmannsberger, Stefan
Microstructure dataset utilized in "Generative Adversarial Networks Enable Outlier Detection and Property Monitoring for Additive Manufacturing of Complex Structures" (http://dx.doi.org/10.2139/ssrn.4711476 ):- lattice structures in folders lattice_structures and lattice_structures_defective were employed in Section 3.1- spherical voids in folders spherical_voids and spherical_voids_perturbed were employed in Section 3.2The lattice structures are extracted from the CT scans in "Image-based numerical characterization and experimental validation of tensile behavior of octet-truss lattice structures" (https://doi.org/10.1016/j.addma.2021.101949)
Authors
- Henkes, Alexander ;
- Herrmann, Leon ;
- Wessels, Henning ;
- Kollmannsberger, Stefan
Microstructure dataset utilized in "Generative Adversarial Networks Enable Outlier Detection and Property Monitoring for Additive Manufacturing of Complex Structures" (http://dx.doi.org/10.2139/ssrn.4711476 ):- lattice structures in folder lattice_structures were employed in Section 3.1- spherical voids in folders spherical_voids and spherical_voids_perturbed were employed in Section 3.2The lattice structures are extracted from the CT scans in "Image-based numerical characterization and experimental validation of tensile behavior of octet-truss lattice structures" (https://doi.org/10.1016/j.addma.2021.101949)
Authors
- Henkes, Alexander ;
- Herrmann, Leon ;
- Wessels, Henning ;
- Kollmannsberger, Stefan