Dataset DOI: 10.5061/dryad.kkwh70sgw

Description of the data and file structure

The data were collected to identify and characterize neural circuits within the Drosophila visual system that are involved in distance estimation behaviors.

Files and variables

File: Processed_Behav_Data_WS.mat

Description: Contains all of the summary-level behavioral gap crossing data taken as part of the neuronal silencing screen, along with wild-type experiments and any associated controls. This can be loaded into MATLAB and contains all of the data necessary to generate the gap crossing figures in the manuscript.

Variables

• AllCrossStats: 42x15 cell array that contains all of the gap crossing summary statistics from the screen. Rows (of which there are 42) correspond to different genotype groups, and columns (of which there are 15) refer to different experiment groups. Column 1 consists of all experiments that used wild-type flies, column 2 consists of all experiments that used shibire to silence specific neuronal drivers, column 3 consists of all genetic control experiments, and columns 4+ correspond to miscellaneous experiments associated with genotypes. Each cell within the cell array is a struct in which all of the gap crossing summary statistics are stored that were utilized in the paper.
• AllCrossStatsGenotypes: Corresponding 42x15 cell array that contains the full genotype for the summary statistics stored in AllCrossStats.
• AllCrossStatsNames: Corresponding 42x15 cell array that contains the names of the neurons and experiment types associated with the summary statistics stored in AllCrossStats.

File: Behavior_Data.zip

Description: Contains all of the behavioral gap crossing data taken as part of the neuronal silencing screen, along with wild-type experiments and any associated controls. This file is a compressed version of all the directories and experiments, so it should be downloaded as is and then extracted into the cloned "Data" directory.

Each folder within this zipped directory structure follows the naming convention of [genotype]_[experimental condition], and within each of these directories are directories containing the data from the associated experiment number (all labeled as Experiment_[#]). Also within these directories are the processed .mat and .fig files associated with those specific behavioral experiments. The highest level processed data from these files is contained within Processed_Behav_Data_WS.mat, but these .mat files in this directory structure contain slightly more of the raw data storage, including the behavioral time series data. To see how all of these analyses were done, including the sequential data processing that is stored within the Experiment_[#] directory, please refer to the analysis pipeline code.

File: LC15_Imaging_and_Behavior_Data.zip

Description: Contains all of the directories and data needed to produce the figures in the manuscript that correspond to simultaneous neural imaging and behavioral measurements. This file is a compressed version of all the directories and experiments, so it should be downloaded as is and then extracted into the cloned "Data" directory. In order to process the data within these subdirectories, please see below (Figure_Generation_Scripts.zip).

File: LC15_Imaging_Data.zip

Description: Contains all of the directories and data needed to produce the figures in the manuscript that correspond to neural imaging without simultaneous behavioral measurements. This file is a compressed version of all the directories and experiments, so it should be downloaded as is and then extracted into the cloned "Data" directory. In order to process the data within these subdirectories, please see below (Figure_Generation_Scripts.zip).

File: Figure_Generation_Scripts.zip

Description: Contains all of the directories and scripts needed to process the data provided in the above-mentioned files to produce the final figure panels within the manuscript. In order to utilize these functions, please download and extract this file in the same directory in which the "Data" directory is cloned. In the extracted directory, there are six subdirectories. All but one follow the naming scheme [Experiment Type]_Fig_[Corresponding Fig # in Paper], and the other subdirectory is named Final Figs.

• Within each [Experiment Type]_Fig_[Corresponding Fig # in Paper] directory, there exist up to three sub-directories as follows:
  • fig_files: Matlab figure files (.fig) that are produced by running the scripts in Generation_Code, which processes data from one of the above described data files.
  • Generation_Code: Matlab analysis scripts that process the data in the above described data files and generates the Matlab figure files (.fig) saved in the fig_files subdirectory described above. Each script is named after the figure panel in the paper or the information it generates.
  • image_files: Exported versions of the Matlab figure files, typically saved as .png, .ai, or .svg.
• Within the Final Figs directory, there exist two subdirectories (AI Files and PNG Files) in which the final versions of the figures in the manuscript are saved. These consist of all the sub-figures generated in the above scripts as panels.

Code/software

All files utilize MATLAB for importing, visualization, and processing/analysis. Matlab2023a was the distribution used, but any distribution after Matlab2020b is compatible with the data.

All code and scripts included in the submission have their instructions documented in the preceding data section, as well as the GitHub repository associated with this manuscript. Additionally, each individual function within the analysis pipeline contains all relevant information within its header as a comment in case the relationship between scripts is unclear due to an accidental displacement of the script location. For the smoothest experience, please follow the download and extraction instructions provided above (which can also be found in the GitHub README) in order to ensure that all directory structures are correctly preserved when downloading the data and scripts.