This dataverse contains all data required to replicate the analysis conducted in Muellers et al.'s 2026 publication "Using NMR to predict molecular reactivity" (DOI). Several items below were sourced from other open source datasets, as indicated.
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1 to 7 of 7 Results
Sep 15, 2026
Muellers, Tobias, 2026, "ωB97X-D-computed HOMO-LUMO energy gaps for curated NMRShiftDB2 molecules: files 0-1,000", https://doi.org/10.60600/YU/AAJPLH, Yale Dataverse, V1
.log files for completed DFT calculations using the ωB97X-D functional and def2svp basis set58 as implemented in Gaussian 16: files 0-1,000
Sep 15, 2026
Muellers, Tobias, 2026, "ωB97X-D-computed HOMO-LUMO energy gaps for curated NMRShiftDB2 molecules: files 1,000-2,000", https://doi.org/10.60600/YU/JO6GQT, Yale Dataverse, V1
.log files for completed DFT calculations using the ωB97X-D functional and def2svp basis set58 as implemented in Gaussian 16: files 1,000-2,000
Sep 15, 2026
Muellers, Tobias, 2026, "ωB97X-D-computed HOMO-LUMO energy gaps for curated NMRShiftDB2 molecules: files 2,000-3,000", https://doi.org/10.60600/YU/0ZBQUE, Yale Dataverse, V1
.log files for completed DFT calculations using the ωB97X-D functional and def2svp basis set58 as implemented in Gaussian 16: files 2,000-3,000
Sep 15, 2026
Muellers, Tobias, 2026, "ωB97X-D-computed HOMO-LUMO energy gaps for curated NMRShiftDB2 molecules: files 3,000-3,636", https://doi.org/10.60600/YU/AESWHY, Yale Dataverse, V1
.log files for completed DFT calculations using the ωB97X-D functional and def2svp basis set58 as implemented in Gaussian 16: files 3,000-3,636
Sep 15, 2026
Muellers, Tobias, 2026, "Experimental NMR chemical shifts from Kuhn S. and Schlörer, N. E (2015)", https://doi.org/10.60600/YU/LAF3FO, Yale Dataverse, V1
This entry points to the dataset used to obtain experimental NMR chemical shifts: https://sourceforge.net/projects/nmrshiftdb2/files/data/
Sep 15, 2026
Muellers, Tobias, 2026, "NMR shielding tensors for QM9-NMR dataset from Gupta, A. et al. (2021)", https://doi.org/10.60600/YU/F7RZYL, Yale Dataverse, V1
This entry points to the dataset used to obtain QM9 NMR shielding tensors: https://moldis-group.github.io/qm9nmr/
Sep 15, 2026
Muellers, Tobias, 2026, "QM9 HOMO-LUMO energy gaps from Ramakrishnan, R. et al. (2014)", https://doi.org/10.60600/YU/LG4T8K, Yale Dataverse, V1
This entry points to the dataset used to obtain QM9 HOMO-LUMO energy gaps: https://doi.org/10.6084/m9.figshare.978904
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