Multibehavioral Phenotyping in Larval Zebrafish for Neurotoxicity Screening

A 2.0 MB dataset from figshare details automated behavioral assays in larval zebrafish, a model for neurotoxicity testing. The data, published by David Leuthold and last updated in June 2026, captures visual and acoustic behaviors including habituation learning. It was used to screen chemicals and identify mechanisms of action, with orthogonal validation in mouse neurons and human stem cell-derived models.

Use Cases

• Training models to classify neuroactive chemicals based on multibehavioral profiles described in the study.
• Identifying chemical disruptors of nonassociative learning using habituation assay data.
• Correlating in silico target predictions with observed behavioral alterations in zebrafish.
• Validating neurotoxicity mechanisms across species using data from zebrafish, mouse cortical neurons, and human BrainSpheres.

Strengths

• Data is associated with a published methodology using a battery of automated behavioral assays.
• Findings were validated across multiple biological systems, including mouse neurons and human stem cell-derived models.
• Dataset is shared under a CC-BY-NC-4.0 license, permitting non-commercial reuse with attribution.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for large-scale statistical modeling.
• The 2.0 MB file size suggests a relatively small-scale dataset.

Provenance

Source

David Leuthold via figshare.

Collection Method

Data likely originates from automated behavioral assays on larval zebrafish exposed to chemical compounds.

Freshness

Last updated 2026-06-02 13:37:14; freshness should be verified.