Table · dataset · 2026
Processed Data for Local Atomic Charge and Molecular Polarizability Prediction Using Distance Ordered Z Matrix Text
Listed in figshare
Description
<p dir="ltr">This dataset provides the processed distance ordered Z matrix text tables and reference labels used for local atomic charge prediction and molecular polarizability prediction in this study.</p><p><br></p><p dir="ltr">The archive contains element specific training, validation, and test tables for local atomic charges, together with training, validation, and 52 molecule test tables for molecular polarizability.
Each sample contains a distance ordered Z matrix text representation and its reference property value.</p><p><br></p><p dir="ltr">The molecular crystal NMR chemical shift data and the associated numerical representation and cutoff radius subsets are derived from the Cambridge Structural Database and are therefore not redistributed here. Code and instructions for reconstructing these CSD derived data are provided in the accompanying code repository: [replace with your GitHub URL].</p>
Links
Where it is published
- DOI doi.org/10.6084/m9.figshare.33951382.v1 ↗
DOI / persistent id · from figshare com
Catalogue records · 1
- OAI-PMH record api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Af… ↗
metadata API · from figshare com
Topics
- From keywords
- Astronomy & Astrophysics · Chemistry · Computer Science & AI · Earth & Environmental Science · Economics & Finance · Engineering · Humanities · Life Sciences · Machine learning · Medicine & Health · Ocean & Atmospheric Science · Social Science
- Inferred from text
- Text 75%
Provenance · 1 source records, 18 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| figshare | oai:figshare.com:article/33951382 | 10 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].anzsrc:group:4611 | mapping · figshare com | vocabulary-mapper@1.0.0 | keywords['machine learning'] |
| concepts[field].local:field:astronomy | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:chemistry | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:computer-science-ai | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:economics-finance | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:engineering | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:humanities | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:ocean-atmospheric | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:social-science | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[modality].local:modality:text | enrichment · figshare com | keyword-concept-rules@1.0.0 | title+description (75%) |
| description | source · figshare com | connector:figshare_com@1.0.0 | /metadata/dc/description |
| license | source · figshare com | connector:figshare_com@1.0.0 | /metadata/dc/rights |
| publication_date | source · figshare com | connector:figshare_com@1.0.0 | |
| title | source · figshare com | connector:figshare_com@1.0.0 | /metadata/dc/title |