Veith_et_al_2024/behavior/README.md

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.