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Chaperones Skp and SurA dynamically expand unfolded OmpX and synergistically disassemble oligomeric aggregates
(Technische Universität Dresden, 2022)
The packages contain the raw data (.ht3 and BIN files) obtained for all smFRET and FCS measurements mentioned in the manuscript titled "Chaperones Skp and SurA dynamically expand unfolded OmpX and synergistically disassemble ...
Training and Predicted Data for Machine Learning on Thermoelectric Materials
(Technische Universität DresdenIFW Dresden, 2022)
This is supplementary information to the manuscript: "Sustainable Thermoelectric Materials Predicted by Machine Learning"
STM images of o-MeO-DMBI on Au(111)
(Technische Universität Dresden, 2022)
Supplementary experimental data to Surf. Sci. 678, 177–182 (2018)
DOI 10.1016/j.susc.2018.05.003.
STM data about Tetracene-NCH3 on Au(111)
(Technische Universität Dresden, 2022)
Supplementary data to Anchoring Molecular Rotors by On-Surface Synthesis http://arxiv.org/abs/2204.01416
STM data on azulene-based molecules and nanostructures
(Technische Universität Dresden, 2022)
Supplementary data to Nanoscale 12, 24471–24476 (2020)
STM data on the one-way rotation of chemically anchored DMBI
(Technische Universität Dresden, 2022)
Supplementary data to Nanoscale 13, 16077 – 16083 (2021)
STM data on PKL-2-Lin on Au(111)
(Technische Universität Dresden, 2022)
Supplementary data to Chem.Eur.J.,27,17336–17340 (2021)
Research data supporting the paper "Organic bipolar transistors"
(Technische Universität Dresden, 2022)
Supplemental experimental data to the paper "Organic bipolar transistors". For the experimental details, please refer to the original paper.
Raw images to "Large and stable - actin aster networks formed via entropic forces"
(Universität LeipzigPeter-Debye-Institut für Physik der weichen Materie, 2022)
Raw images that are referred to in the publication "Large and stable - actin aster networks formed via entropic forces". Actin aster networks were formed via depletion forces, using methyl cellulose as crowding agent. ...
Data for NCOMMS-22-00582A, Rahn et al.
(Technische Universität Dresden, 2022)
This dataset contains the necessary data and minimal Matlab scripts to reproduce the Figures in
"Kondo quasiparticle dynamics observed by resonant inelastic x-ray scattering" (Rahn et al., 2022)