Visual circuitry for distance estimation in Drosophila

This dataset contains all the processed neural imaging and behavioral time series data associated with the manuscript as submitted to Current Biology. All data corresponds to measurements from Drosophila, and is sub-divided into two distinct data structures corresponding to the different types of data (neural imaging and behavioral time series). Neural imaging data is contained in one Matlab struct, and the behavioral time series data is contained in a different Matlab struct, both of which have their fields and units described in the corresponding README. All the data is to be made publicly available as open-source, and all associated code for recreating analysis done within the manuscript is also provided here and in the corresponding GitHub repository. The behavior structure includes all locomotor data from a genetic silencing screen in which neural substrates were identified in the Drosophila visual system for their involvement (or lack thereof) in distance estimation behaviors. Mea..., , # Visual circuitry for distance estimation in Drosophila

Dataset DOI: [10.5061/dryad.kkwh70sgw](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...,

本数据集包含所有与投稿至《当代生物学》（Current Biology）的学术论文相关的已处理神经成像与行为时序序列数据。所有数据均采集自果蝇（Drosophila），并按数据类型分为两类独立的数据结构：神经成像数据与行为时序序列数据。其中，神经成像数据存储于一个MATLAB结构体中，行为时序序列数据则存储于另一个MATLAB结构体中，二者的字段及单位均在配套README文件中予以说明。本数据集将以开源形式公开发布，所有用于复现论文中分析流程的配套代码，已随本数据集及对应GitHub仓库一同提供。该行为结构体包含一项遗传沉默筛选实验的全部运动数据，该实验旨在鉴定果蝇视觉系统中参与（或不参与）距离估算行为的神经底物。[原文此处内容存在截断]，# 果蝇距离估算的视觉神经环路（Visual circuitry for distance estimation in Drosophila）

数据集DOI: 10.5061/dryad.kkwh70sgw

## 数据与文件结构说明
本数据集的采集目的为鉴定并表征果蝇视觉系统中参与距离估算行为的神经回路。

### 文件与变量
#### 文件：Processed_Behav_Data_WS.mat
**描述：** 包含本项神经元沉默筛选实验中获取的所有汇总级行为跨越间隙数据，以及野生型实验组与所有相关对照数据。该文件可在MATLAB中加载，包含复现论文中跨越间隙相关图表所需的全部数据。

##### 变量
* `AllCrossStats`：为42×15元胞数组（cell array），存储本筛选实验中所有的间隙跨越汇总统计量。其中42行对应不同基因型组别，15列对应不同实验组别。第1列包含……（原文此处内容截断）