Automated Organization Profile

Technische Universitat Braunschweig

Current S-Index

16.6

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

1.5

Average Dataset Index per dataset

Total Datasets

11

Total datasets in this organization

Average FAIR Score

60.8%

Average FAIR Score per dataset

Total Citations

10

Total citations to the organization's datasets

Total Mentions

1

Total mentions of the organization's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Research data for the research article "Vortex ratchet effect in superconductor open nanotubes and nanopetals"

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
1 Citation0 Mentions65% FAIR0.8 Dataset Index
10.17632/hcytmbcngg.12025

Research data for the research article "Vortex ratchet effect in superconductor open nanotubes and nanopetals"

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
0 Citations0 Mentions65% FAIR0.4 Dataset Index
10.17632/hcytmbcngg2025

Research data for the research article "Vortex frequency locking and Shapiro steps in superconductor open nanotubes"

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
0 Citations0 Mentions65% FAIR0.4 Dataset Index
10.17632/hstgh8tyxp2025

Research data for the research article "Vortex frequency locking and Shapiro steps in superconductor open nanotubes"

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
1 Citation0 Mentions65% FAIR0.7 Dataset Index
10.17632/hstgh8tyxp.12025

Additional supplemental data Immunity paper: NLRP3-mediated glutaminolysis controls microglial phagocytosis to promote Alzheimer’s disease progression

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
0 Citations0 Mentions65% FAIR0.4 Dataset Index
10.17632/m96m82x9382025

Additional supplemental data Immunity paper: NLRP3-mediated glutaminolysis controls microglial phagocytosis to promote Alzheimer’s disease progression

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
0 Citations0 Mentions65% FAIR0.4 Dataset Index
10.17632/m96m82x938.12025

Generative Adversarial Networks Enable Outlier Detection and Property Monitoring for Additive Manufacturing of Complex Structures [dataset]

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
0 Citations0 Mentions65% FAIR0.3 Dataset Index
10.17632/zbbrbzrdtd2024

Generative Adversarial Networks Enable Outlier Detection and Property Monitoring for Additive Manufacturing of Complex Structures [dataset]

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
0 Citations0 Mentions65% FAIR0.3 Dataset Index
10.17632/zbbrbzrdtd.32024

Generative Adversarial Networks Enable Outlier Detection and Property Monitoring for Additive Manufacturing of Complex Structures [dataset]

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
1 Citation0 Mentions65% FAIR0.9 Dataset Index
10.17632/zbbrbzrdtd.22024

Generative Adversarial Networks Enable Outlier Detection and Property Monitoring for Additive Manufacturing of Complex Structures [dataset]

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
1 Citation0 Mentions65% FAIR0.8 Dataset Index
10.17632/zbbrbzrdtd.12024