Replication data of Buchmeiser group for: "Stereoselective Ring Expansion Metathesis Polymerization with Cationic Molybdenum Alkylidyne N-Heterocyclic Carbene Complexes"

Version 1.0
Probst, Patrick; Groos, Jonas; Wang, Dongren; Gugeler, Katrin; Beck, Alexander; Kästner, Johannes; Frey, Wolfgang; Buchmeiser, Michael, 2024, "Replication data of Buchmeiser group for: "Stereoselective Ring Expansion Metathesis Polymerization with Cationic Molybdenum Alkylidyne N-Heterocyclic Carbene Complexes"", https://doi.org/10.18419/DARUS-4122, DaRUS, V1
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Description
Synthetic proofs in form of 1H, 13C, 19 F NMR spectra, as well as GPC traces for polymers, the presented MALDI-TOF spectrum, Data files for the crystal structure as well as data for the theoretical calculations are reported. All primary data files of measurements and processed data of the journal article mentioned under related publications from Buchmeiser and Kästner group can be found here. The data is structured according to figures and schemes in the research article and contains the following data types: bruker NMR folder, .cif, .txt., .pdf. (2024-04-02)
Subject Chemistry
Keyword Catalysts, Chemical Structure, Monomer, Polymerization, Polymers
Related Publication Patrick Probst, Jonas Groos, Dongren Wang, Alexander Beck, Katrin Gugeler, Johannes Kästner, Wolfgang Frey, and Michael R. Buchmeiser, Stereoselective Ring Expansion Metathesis Polymerization with Cationic Molybdenum Alkylidyne N-Heterocyclic Carbene Complexes, Journal of the American Chemical Society 2024 146 (12), 8435-8446doi: 10.1021/jacs.3c14457
Notes The ZIP file Buchmeiser Mo contains relevant calculation results which are the basis for the theoretical part of the paper. The .tgz file contains calculations on the charge distribution of complexes mentioned in the paper. The ZIP file Data contains the above mentioned data in order of Polymer types and is labeled as entries of tables.
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Buchmeiser_Mo.zip
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Published Apr 11, 2024
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Computational Data (Density Functional Theory)
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DaRUS.zip
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Published Apr 11, 2024
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MD5: 37aabf1c4263f382fd3af3f38acb93fb
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K1.tgz
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Published Apr 11, 2024
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MD5: 536c6131f769bd1c9888f1543e413030
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