Dataset for: Revisiting Molecular Descriptors with TDiMS for Interpretable Intramolecular Interactions Based on Substructure Pairs
Abstract
This record contains the minimum datasets required to interpret, verify and extend the findings reported in the associated manuscript, “Revisiting Molecular Descriptors with TDiMS for Interpretable Intramolecular Interactions Based on Substructure Pairs”. The deposited files include the exact subsets used in the Chromophore, QM9 and PubChemQC analyses, including HAC-binned PubChemQC subsets used in supplementary analyses. The record also includes documentation describing file contents, provenance and reuse conditions. Source data for figures are provided with the paper and are not included in this Zenodo record.
Fields of Study & Subjects
Computational Drug Discovery Methods
Machine Learning in Materials Science
Molecular spectroscopy and chirality
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 1 January 2026
- Language
- EN