Multivariate classification of multichannel long-term electrophysiology data identifies different sleep stages in fruit flies, Part 16 of 16

Sleep is observed in most animals, which suggests it subserves a fundamental process associated with adaptive biological functions. However, the evidence to directly associate sleep with a specific function is lacking, in part because sleep is not a single process in many animals. In humans and other mammals, different sleep stages have traditionally been identified using electroencephalograms (EEGs), but such an approach is not feasible in different animals such as insects. Here, we perform long-term multichannel local field potential (LFP) recordings in the brains of behaving flies undergoing spontaneous sleep bouts. We developed protocols to allow for consistent spatial recordings of LFPs across multiple flies, allowing us to compare the LFP activity across awake and sleep periods and further compare the same to induced sleep. Using machine learning, we uncover the existence of distinct temporal stages of sleep and explore the associated spatial and spectral features across the fly b..., , , ## Data from: Multivariate classification of multichannel long-term electrophysiology data identifies different sleep stages in fruit flies, Part 16 of 16

## Description of the data and file structure

This is a part of the multi-part dataset containing local field potential (lfp) recordings and video data of 16 `Drosophila melanogaster` flies.
This part contains data from `23_13032019_SponSleep_LFP`

## Dataset contents

Each dataset (after collation for individual fly using software below) consists of a specific spontaneous sleep recording for each fly. For e.g. 23_13032019_SponSleep_LFP contains lfp and video recorded from a particular drosophila on 13-03-2019. Within each folder there are two subfolders.

* lfp: contains two further subfolders:
* folder ending with `_Calib` contains lfp data recorded when calibration (electrode insertion) was performed as a single block.
* folder ending with `_LFP` contains lfp data of the full recording, either as a single block or...

睡眠现象存在于大多数动物中，这表明其服务于与适应性生物学功能相关的基础过程。然而，直接将睡眠与特定功能关联的证据尚显不足，部分原因在于睡眠在许多动物中并非单一过程。在人类及其他哺乳动物中，传统上通过脑电图（EEG）识别不同睡眠阶段，但这种方法在昆虫等不同动物中并不适用。在此，我们对处于自发性睡眠发作状态的行为学果蝇大脑进行了长期多通道局部场电位（LFP）记录。我们开发了能在多只果蝇间实现一致空间LFP记录的方案，从而可比较清醒与睡眠期的LFP活动，并进一步与诱导睡眠状态下的活动进行对比。借助机器学习，我们揭示了睡眠存在不同时间阶段的现象，并探索了果蝇全脑范围内相关的空间及频谱特征…… ## 数据来源：多变量分类多通道长期电生理学数据识别果蝇不同睡眠阶段，第16部分（共16部分）

## 数据及文件结构描述
本数据集为多部分数据集的一部分，包含16只黑腹果蝇（Drosophila melanogaster）的局部场电位（LFP）记录及视频数据。本部分包含来自`23_13032019_SponSleep_LFP`的数据。

## 数据集内容
每个数据集（经下述软件针对单只果蝇整理后）包含该果蝇的特定自发性睡眠记录。例如，`23_13032019_SponSleep_LFP`包含2019年3月13日从某只果蝇采集的LFP及视频数据。每个文件夹内有两个子文件夹：
* lfp：包含两个子文件夹：
* 以`_Calib`结尾的文件夹：包含在单次校准（电极插入）过程中记录的LFP数据块。
* 以`_LFP`结尾的文件夹：包含完整记录的LFP数据，形式可为单个数据块或……