### Behavior data
This folder contains pickled dataframe objects with fish trajectories around playback events. (5s before playback, 7s after playback, 120fps).
- `65fish_nolla.zip` Data on 65 female and male adult _Danionella cerebrum_ without lateral line ablation.
- `74fish_lla.zip` Data on 74 female and male adult _Danionella cerebrum_ after lateral line ablation.

Load like this (in python):
```
import pandas as pd
df = pd.read_pickle('65fish_nolla.zip')
```
To generate paper figures based on this data, see:
https://github.com/danionella/veith_et_al_2024/tree/main/figures

The subfolder `sleap_model` contains the fish skeleton, parameters, and the trained model that was used to track a single _Danionella cerebrum_ in a 336 x 336 pixel recording, spanning a ~ 11 x 11cm field of view.