Auflistung nach Schlagwort "Chemistry"
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2D NMR of 1,2,3,4,5-Pentakis(p-tert-butylbiphenyl)cyclopentadienylhydrotris{ 6-[(ethylsulfanyl)methyl]indazol-1-yl}borateruthenium( II) complex
(CEMES, Université de Toulouse, CNRS, 2020)Supplementary data to Chem. Eur. J. 2019, 25, 16328-16339. -
2D NMR of 1,2,3,4-Tetra(p-bromophenyl)-5-(p-iodophenyl)cyclopentadienyl hydrotris {6-[(ethylsulfanyl)methyl]indazol-1-yl}borate ruthenium(II) complex
(CEMES, Université de Toulouse, CNRS, 2020)Supplementary data to Chem. Commun. 2019, 55, 14689-14692. -
2D NMR of CpBrAr2 compound
(Technische Universität Dresden, 2022)Supplementary data to RSC Advances 2021, 20207-20215. -
2D NMR of molecular winch precursor (ruthenium complex 7)
(CEMES, Université de Toulouse, CNRS, 2022)Supplementary data to: Chem. Eur. J. 2021, 27, 16242-16249. -
2D NMR of Thallium Hydrotris{6-[(ethylsulfanyl)methyl]indazol-1-yl}borate
(CEMES, Université de Toulouse, CNRS, 2020)Supplementary data to Eur. J. Org. Chem. 2018, 4731-4739. -
Data to Train of Single Molecule-Gears
(Technische Universität DresdenCEMES, CNRS, Toulouse, France, 2020)supplementary data to Journal of Physical Chemistry Letters 10 (2019) 6462-6467. Raw STM image data -
Discrimination of human and animal bloodstains using hyperspectral imaging
(Universität Leipzig, 2024)To address the question of blood origin, the novel application of visible-near infrared hyperspectral imaging (HSI) is used for the detection and discrimination of human and animal bloodstains. The HSI system used is a ... -
Jupyter notebook code and example file for the evaluation of XRR data via FFT
(Technische Universität DresdenIFW Dresden, 2020)This is supplementary information to the publication: "Fast fourier transform and multi-Gaussian fitting of XRR data to determine the thickness of ALD grown thin films within the initial growth regime" -
Molecular rotor functionalized with a photoresponsive brake - xyz files
(CEMES, Université de Toulouse, CNRS, 2022)Supplementary data to Inorg. Chem. 2021, 60, 3492-3501. -
Pyrolysis data to reveal molecular composition of peat and peat forming plants
(Technische Universität Dresden, 2020)Detailed data description can be found here: Zeh, L., Igel, T. M., Schellekens, J., Limpens, J., Bragazza, L., & Kalbitz, K. (2020). Vascular plants affect properties and decomposition of moss-dominated peat, particularly ... -
Python source code, text corpora and automatically generated datasets for Machine Learning
(Technische Universität Dresden, 2023)This is supplementary information to the report: "Entwicklung eines Input-Algorithmus zur Erzeugung von Lerndatensätzen für Maschinelles Lernen mittels Natural Language Recognition" -
STM data on azulene-based molecules and nanostructures
(Technische Universität Dresden, 2022)Supplementary data to Nanoscale 12, 24471–24476 (2020) -
STM data on PKL-2-Lin on Au(111)
(Technische Universität Dresden, 2022)Supplementary data to Chem.Eur.J.,27,17336–17340 (2021) -
STM images and manipulation of DDNB on Ag(111)
(Technische Universität DresdenLeonhard Grill, University of Graz, 2020)supplementary data to Nature Communications, 10, 4631 (2019) -
STM images of dodecacene and precursors on Au(111)
(Technische Universität Dresden, 2020)Supplementary data to ACS Nano 14, 1011−1017 (2020) -
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. -
Surface manipulation of a curved polycyclic aromatic hydrocarbon-based nano-vehicle molecule equipped with triptycene wheels
(CEMES, CNRS, Toulouse, France, 2020)supplementary data to Nanotechnology 29 (2018) 495401 -
Tetra-azo molecules on Ag(111)
(Technische Universität DresdenLeonhard GrillLeonhard Grill, University of Graz, 2020) -
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"