Infant Microbiome and Behavior Data for Maternal Unpredictability Study

A study of 255 mother-infant dyads examines how maternal unpredictability, measured from 2 to 6 months, relates to infant inhibitory control at 19–28 months and gut microbiome composition in a subset of 87 infants. The dataset, authored by Dima Amso and shared on figshare, includes measures of visual orienting behavior, microbial community data, and neuroactive metabolic gene potential. It was last updated on June 2, 2026.

Use Cases

• Modeling the relationship between maternal unpredictability entropy and later inhibitory control based on behavioral scores.
• Analyzing associations between infant visual orienting behavior and gut microbial taxonomic profiles, particularly Bifidobacterium species.
• Investigating the enrichment of microbial tryptophan and glutamate synthesis genes in relation to infant behavioral strategies.
• Examining interaction effects between behavioral strategies and environmental unpredictability on microbial neuroactive gene functions.

Strengths

• Includes data from 255 mother-infant dyads for behavioral analysis.
• Contains detailed microbial taxonomic and functional profiles for a subset of 87 infants.
• Explicitly measures maternal unpredictability as entropy of sensory signal transitions.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count for the primary data tables is unknown, which may limit suitability assessment.
• The 6.0 MB file size suggests a relatively small dataset, potentially limiting statistical power for complex models.

Provenance

Source

figshare, author Dima Amso.

Collection Method

Data likely collected from observational studies of mother-infant interactions and subsequent microbiome sequencing.

Time Range

Infant observations from 2–6 months, with follow-up inhibitory control assessment at 19–28 months.

Freshness

Last updated 2026-06-02 05:42:01; freshness should be verified.