Durrieu et al. 2026: Drosophila Affordance Learning Tracking Data

Raw and processed behavioral data from magnet blocking and generalization experiments in Drosophila. The dataset includes per-animal HDF5 tracking files, processed coordinates, ball-pushing metrics, and grid videos. It was authored by Matthias Durrieu and published in May 2026.

Use Cases

• Train pose estimation models based on full-body keypoint pose files.
• Analyze object interaction dynamics based on ball-pushing metrics.
• Study behavioral generalization patterns based on data from the generalization experiment.
• Validate tracking algorithms using raw HDF5 centroid tracking files.

Strengths

• Includes raw HDF5 tracking files, processed .feather files, and compiled .mp4 video files.
• Covers two distinct experimental paradigms: magnet blocking and generalization.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

Durrieu, Matthias

Collection Method

Experimental data from magnet blocking and generalization experiments.

Freshness

Last updated 2026-05-12 14:46:56.