Wind gates olfaction-driven search states in free flight

For any organism tracking a chemical cue to its source, the motion of its surrounding fluid provides crucial information for success. For both swimming and flying animals engaged in olfactory search, turning into the direction of oncoming wind or water current is often a critical first step. However, in nature, wind and water currents may not always provide a reliable directional cue , and it is unclear how organisms adjust their search strategies accordingly due to the challenges of separately controlling flow and chemical encounters. Here, we use the genetic toolkit of Drosophila melanogaster, a model organism for olfaction, to develop an optogenetic paradigm to deliver temporally precise “virtual” olfactory experiences in free-flying animals while independently manipulating the wind conditions. We show that in free flight, Drosophila melanogaster adopt distinct search routines that are gated by whether they are flying in laminar wind or in still air. We first confirm that in laminar ..., For information on specific methodologies involved in data collections see the methods section found in: https://www.cell.com/current-biology/fulltext/S0960-9822(24)00912-6, , # Wind Gates Olfaction-Driven Search States in Free Flight

[https://doi.org/10.5061/dryad.zw3r228fw](https://doi.org/10.5061/dryad.zw3r228fw)

Data relevant to \"Wind Gates Olfaction-Driven Search States in Free Flight\", currently published in Current Biology:

[https://www.cell.com/current-biology/fulltext/S0960-9822(24)00912-6](https://www.cell.com/current-biology/fulltext/S0960-9822\(24\)00912-6)

This data set is built in conjunction and meant to complement the github page to recreate all the figures, which is located  for the public here: [https://github.com/dstupski/wind_gates_search_states](https://github.com/dstupski/wind_gates_search_states)

## Description of the data and file structure

Directory contains the following.  See the accompanied github page for examples that use the data to generate each figure.  

1: trimmed_data- the processed data sets which were used to generate figures
2: auxillary_code- standard python scripts used to clean raw data
3: main_text- jupyter not...