NMR FID Data for Amphiphilic Glyco-Peptoid Libraries

Nuclear Magnetic Resonance Free Induction Decay data supports a 2026 Chirality article on synthetic glyco-peptoids. The 31.6 MB dataset, shared under CC-BY-4.0 by Gaetano Angelici, likely contains spectral data for compounds designed to self-assemble into nanomaterials. This data enables the exploration of structure-property relationships for potential drug delivery excipients and membrane protein stabilizers.

Use Cases

• Predicting amphiphilic properties based on molecular structure features mentioned in the description
• Modeling the self-assembly behavior of glyco-peptoids into nanomaterials
• Screening chemical libraries for functional excipients suitable for drug delivery
• Analyzing the relationship between peptoid unit modularity and material properties

Strengths

• Dataset size is 31.6 MB, indicating a non-trivial volume of spectral data.
• Associated with a peer-reviewed article published in Chirality in 2026.
• Shared under the permissive CC-BY-4.0 license for reuse.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The description focuses on the research context rather than the dataset's specific structure.

Provenance

Source

Gaetano Angelici via figshare

Collection Method

Likely generated from NMR spectroscopy of synthesized compounds.

Freshness

Last updated 2026-05-26 07:35:02