Multivariate classification of multichannel long-term electrophysiology data identifies different sleep stages in fruit flies, Part 9 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 9 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 `14_11122018_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. 14_11122018_SponSleep_LFP contains lfp and video recorded from a particular drosophila on 11-12-2018. 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 ...

绝大多数动物均存在睡眠行为，这提示睡眠承载着与适应性生物学功能相关的核心生理过程。然而，目前仍缺乏将睡眠与特定功能直接关联的证据，部分原因在于许多动物的睡眠并非单一的生理过程。传统上，人类与其他哺乳动物的睡眠阶段可通过脑电图（electroencephalogram, EEG）进行区分，但该方法在昆虫等其他动物中并不可行。本研究对处于自发睡眠周期的活动果蝇脑部开展长期多通道局部场电位（local field potential, LFP）记录，开发了可实现多只果蝇间LFP空间记录一致性的实验方案，得以比较清醒与睡眠状态下的LFP活动，并进一步将其与诱导睡眠状态进行对比。本研究借助机器学习方法，揭示了果蝇睡眠存在不同的阶段性时程特征，并探究了与之相关的空间与频谱特性……[原文截断]。
数据来源：《多变量长时程电生理数据的多分类方法鉴定果蝇不同睡眠阶段》，第9/16部分

## 数据与文件结构说明
本数据集为多卷数据集的其中一卷，包含16只黑腹果蝇（Drosophila melanogaster）的局部场电位（LFP）记录与视频数据。本卷数据对应记录标识为`14_11122018_SponSleep_LFP`。

## 数据集内容
经下述软件整理为单只果蝇专属数据集后，每份数据对应一只果蝇的单次自发睡眠记录。例如，`14_11122018_SponSleep_LFP`包含2018年12月11日从单只果蝇采集的LFP与视频数据。每个数据文件夹下包含两个子文件夹：
* `lfp`：包含两个次级子文件夹：
* 以`_Calib`结尾的文件夹：存储电极校准（电极植入）阶段采集的单区块LFP数据。
* 以`_LFP`结尾的文件夹：存储完整记录的LFP数据，数据以单区块或其他形式存储。