Sleep

Quality of Sleep

When do you go to bed and when do you get up, how long do you sleep?

Sleep in Mammals

Sleep Durations of Different Mammals

Sleep-EDF (Sleep-EDF Expanded)

The sleep-edf database contains 197 whole-night PolySomnoGraphic sleep recordings, containing EEG, EOG, chin EMG, and event markers. Some records also contain respiration and body temperature. Corresponding hypnograms (sleep patterns) were manually scored by well-trained technicians according to the Rechtschaffen and Kales manual, and are also available.

Sleep Study

A survey-based study of the sleeping habits of individuals within the US.

Qualitative interviews on sleep

14 interviews with Hispanic mothers of infants and toddlers at risk for obesity (weight for length >85%) during 2018-2019 on themes of feeding and sleep.

sleep_edf

sleep-edf（European Data Format即欧洲数据格式：一种用于交换和存储多通道生物和物理信号的简单而灵活的格式），其中Version 2的数据库包含197个整夜的PolySomnoGraphic睡眠记录，其中包含EEG，EOG，下巴EMG和事件标记。一些记录还包含呼吸和体温。训练有素的技术人员会根据Rechtschaffen和Kales手册手动对相应的睡眠多导图（睡眠模式）进行打分，这个数据的标记必须要专业的从事人员，但自己在调研AASM评分手册的时候 得到一些启发，后期可以尝试以量化的标准形成一个相对值得信赖的ground truth，可用于有监督分类。数以*PSG.edf为后缀的文件是包含EEG（来自Fpz-Cz和Pz-Oz电极位置），EOG（只有水平），下颌肌EMG和事件标记的整夜多睡眠睡眠记录。 SC* PSG.edf类型文件（请参阅“睡眠录像带研究（sleep cassette）”）通常还包含口鼻呼吸和直肠体温。*Hypnogram.edf文件包含与PSG对应的睡眠模式的注释。这些模式（催眠图）包括睡眠阶段W，R，1、2、3、4，M（身体移动时间）和？ （未评分）。所有催眠图都是由训练有素的技术人员（根据催眠图文件名中的第八个字母来区分）手动评分

Sleep Efficiency Updated Dataset

Sleep efficiency dataset with 619 data rows based on research survey data

Firefighter Sleep Deprivation

This data was collected to investigate the impact of night time call response on sleep distribution and total volume, in addition to decision-making effectiveness using a Go/No-Go oddball paradigm. Duration of REM, Light, Deep, and Total sleep were recorded from the FitBit devices. Percent of each stage was calculated as a function of Total sleep duration.

Sleep and Wake time

sleep time and wake time for normal people

E-diary - Sleep

The Leiden Consortium on Individual Development (L-CID) study was founded by Marinus van IJzendoorn, Eveline Crone, Marian Bakermans-Kranenburg and Rutger Engels in 2013. It was developed as one of four work packages of the overarching Consortium on Individual Development (CID). The L-CID study is a large-scale longitudinal intervention study in which 500 families with same-sex twins are followed over a six year period. L-CID has a cohort-sequential design with two cohorts: an early childhood cohort (ECC), aged 3-4 at wave 1, and a middle childhood cohort (MCC), aged 7-8 at wave 1. Annual assessments consist of alternating lab- or home visits during which behavioral and neurobiological data are collected. The collected data allow, among others, for testing which child characteristics shape the effect of (manipulated) environmental factors. The aim of L-CID is twofold: 1. To investigate the development of social competence and behavioral control in children between 3 and 14 years old; 2. To dissect the reason why not all children are equally responsive to variations in the social environment.

Sleep and lifestyle

Dataset downloaded from datacamp

Sleep Efficiency Dataset

A study of sleep efficiency, and sleep patterns.

Sleep patterns

Cross-sectional individual data on sleep patterns

Sleep Data

Data from StatLib (ftp stat.cmu.edu/datasets)

Sleep Efficiency

该数据集包含关于睡眠模式和影响睡眠效率因素的各种变量，包括年龄、性别、就寝时间、醒来时间、睡眠时长、REM睡眠百分比、深度睡眠百分比、浅睡眠百分比、醒来次数、咖啡因摄入量、酒精摄入量、吸烟状况和运动频率。每个条目代表一个独特个体的睡眠数据。

msleep - Mammals Sleep Dataset

An updated and expanded version of the mammals sleep dataset

The Human Sleep Project

The Human Sleep Project (HSP) sleep physiology dataset is a growing collection of clinical polysomnography (PSG) recordings. Beginning with PSG recordings from from ~15K patients evaluated at the Massachusetts General Hospital, the HSP will grow over the coming years to include data from >200K patients, as well as people evaluated outside of the clinical setting. This data is being used to develop CAISR (Complete AI Sleep Report), a collection of deep neural networks, rule-based algorithms, and signal processing approaches designed to provide better-than-human detection of conventional PSG...

Mammal sleep and longevity

msleep meets AnAge: a combined dataset with no preprocessing

Behavioral and Sleep Data

Data are related to associated tab names in the manuscript and supplemental information. Groups are numbered as follow (1: Cond-NREM2; 2: Cond-REM; 3: NoCond).

Subjective sleep quality and sleep architecture in patients with migraine: a meta-analysis

Sleep disturbance is often associated with migraine. However, there is a paucity of research investigating objective and subjective measures of sleep in migraine patients. This meta-analysis aims to determine whether there are differences in subjective sleep quality measured using the Pittsburgh Sleep Quality Index (PSQI), and objective sleep physiology measured using polysomnography between adult and pediatric patients, and healthy controls. This review was pre-registered on PROSPERO (CRD42020209325). A systematic search of five databases (Embase, MEDLINE®, Global Health, APA PsycINFO, APA PsycArticles, last searched: 12/17/2020) was conducted to find case-controlled studies that measured polysomnography and/or PSQI in patients with migraine. Pregnant participants and those with other headache disorders were excluded. Effect sizes (Hedges’ g) were entered into a random effects model meta-analysis. Study quality was evaluated with the Newcastle Ottawa Scale and publication bias with Egg..., This dataset includes the means and standard deviations from adult and paediatric migraine patients and healthy controls for global Pittsburgh Sleep Quality Index scores, and polysomnography parameters (REM, N1, N2, N3, wake percentages, total sleep time, and sleep onset latency in minutes) as well as the n for each group taken directly from published journal articles. The dataset also includes other information such as the original article's authors, title of the article, country of publication, abstract, year published, journal published in, the measures of sleep that the study collected, risk of bias/study quality assessment scores, and other information that could be potential moderating variables., , # Subjective sleep quality and sleep architecture in patients with migraine: a meta-analysis [https://doi.org/10.5061/dryad.vq83bk3sf](https://doi.org/10.5061/dryad.vq83bk3sf) There is an additional README file within the RStudio software project that explains how to run the necessary analysis scripts. Data are stored in .csv format. Each file contains a different sleep measure (PSQI, PSG, MIDAS & PSQI) for migraine patients and controls. In each file, there are the following columns: * 1) Authors_year - detailing the authors and year of the published journal article. * 2) Country of publication - the country the article was published in. * 3) Publication Type - what type of publication it is * 4) Year - the year the article was published * 5) Journal - the peer-reviewed journal that the article was published in * 6) M_n = this indicates the sample size (n) for that respective parameter for the migraine group (M) * 7) M_M = this indicates the mean of the m...

When do you go to bed and when do you get up, how long do you sleep?

Sleep Durations of Different Mammals

The sleep-edf database contains 197 whole-night PolySomnoGraphic sleep recordings, containing EEG, EOG, chin EMG, and event markers. Some records also contain respiration and body temperature. Corresponding hypnograms (sleep patterns) were manually scored by well-trained technicians according to the Rechtschaffen and Kales manual, and are also available.

A survey-based study of the sleeping habits of individuals within the US.

14 interviews with Hispanic mothers of infants and toddlers at risk for obesity (weight for length >85%) during 2018-2019 on themes of feeding and sleep.

sleep-edf（European Data Format即欧洲数据格式：一种用于交换和存储多通道生物和物理信号的简单而灵活的格式），其中Version 2的数据库包含197个整夜的PolySomnoGraphic睡眠记录，其中包含EEG，EOG，下巴EMG和事件标记。一些记录还包含呼吸和体温。训练有素的技术人员会根据Rechtschaffen和Kales手册手动对相应的睡眠多导图（睡眠模式）进行打分，这个数据的标记必须要专业的从事人员，但自己在调研AASM评分手册的时候 得到一些启发，后期可以尝试以量化的标准形成一个相对值得信赖的ground truth，可用于有监督分类。数以*PSG.edf为后缀的文件是包含EEG（来自Fpz-Cz和Pz-Oz电极位置），EOG（只有水平），下颌肌EMG和事件标记的整夜多睡眠睡眠记录。 SC* PSG.edf类型文件（请参阅“睡眠录像带研究（sleep cassette）”）通常还包含口鼻呼吸和直肠体温。*Hypnogram.edf文件包含与PSG对应的睡眠模式的注释。这些模式（催眠图）包括睡眠阶段W，R，1、2、3、4，M（身体移动时间）和？ （未评分）。所有催眠图都是由训练有素的技术人员（根据催眠图文件名中的第八个字母来区分）手动评分

Sleep efficiency dataset with 619 data rows based on research survey data

This data was collected to investigate the impact of night time call response on sleep distribution and total volume, in addition to decision-making effectiveness using a Go/No-Go oddball paradigm. Duration of REM, Light, Deep, and Total sleep were recorded from the FitBit devices. Percent of each stage was calculated as a function of Total sleep duration.

sleep time and wake time for normal people

The Leiden Consortium on Individual Development (L-CID) study was founded by Marinus van IJzendoorn, Eveline Crone, Marian Bakermans-Kranenburg and Rutger Engels in 2013. It was developed as one of four work packages of the overarching Consortium on Individual Development (CID). The L-CID study is a large-scale longitudinal intervention study in which 500 families with same-sex twins are followed over a six year period. L-CID has a cohort-sequential design with two cohorts: an early childhood cohort (ECC), aged 3-4 at wave 1, and a middle childhood cohort (MCC), aged 7-8 at wave 1. Annual assessments consist of alternating lab- or home visits during which behavioral and neurobiological data are collected. The collected data allow, among others, for testing which child characteristics shape the effect of (manipulated) environmental factors. The aim of L-CID is twofold: 1. To investigate the development of social competence and behavioral control in children between 3 and 14 years old; 2. To dissect the reason why not all children are equally responsive to variations in the social environment.

Dataset downloaded from datacamp

A study of sleep efficiency, and sleep patterns.

Cross-sectional individual data on sleep patterns

Data from StatLib (ftp stat.cmu.edu/datasets)

该数据集包含关于睡眠模式和影响睡眠效率因素的各种变量，包括年龄、性别、就寝时间、醒来时间、睡眠时长、REM睡眠百分比、深度睡眠百分比、浅睡眠百分比、醒来次数、咖啡因摄入量、酒精摄入量、吸烟状况和运动频率。每个条目代表一个独特个体的睡眠数据。

An updated and expanded version of the mammals sleep dataset

The Human Sleep Project (HSP) sleep physiology dataset is a growing collection of clinical polysomnography (PSG) recordings. Beginning with PSG recordings from from ~15K patients evaluated at the Massachusetts General Hospital, the HSP will grow over the coming years to include data from >200K patients, as well as people evaluated outside of the clinical setting. This data is being used to develop CAISR (Complete AI Sleep Report), a collection of deep neural networks, rule-based algorithms, and signal processing approaches designed to provide better-than-human detection of conventional PSG...

msleep meets AnAge: a combined dataset with no preprocessing

Data are related to associated tab names in the manuscript and supplemental information. Groups are numbered as follow (1: Cond-NREM2; 2: Cond-REM; 3: NoCond).

Sleep disturbance is often associated with migraine. However, there is a paucity of research investigating objective and subjective measures of sleep in migraine patients. This meta-analysis aims to determine whether there are differences in subjective sleep quality measured using the Pittsburgh Sleep Quality Index (PSQI), and objective sleep physiology measured using polysomnography between adult and pediatric patients, and healthy controls. This review was pre-registered on PROSPERO (CRD42020209325). A systematic search of five databases (Embase, MEDLINE®, Global Health, APA PsycINFO, APA PsycArticles, last searched: 12/17/2020) was conducted to find case-controlled studies that measured polysomnography and/or PSQI in patients with migraine. Pregnant participants and those with other headache disorders were excluded. Effect sizes (Hedges’ g) were entered into a random effects model meta-analysis. Study quality was evaluated with the Newcastle Ottawa Scale and publication bias with Egg..., This dataset includes the means and standard deviations from adult and paediatric migraine patients and healthy controls for global Pittsburgh Sleep Quality Index scores, and polysomnography parameters (REM, N1, N2, N3, wake percentages, total sleep time, and sleep onset latency in minutes) as well as the n for each group taken directly from published journal articles. The dataset also includes other information such as the original article's authors, title of the article, country of publication, abstract, year published, journal published in, the measures of sleep that the study collected, risk of bias/study quality assessment scores, and other information that could be potential moderating variables., , # Subjective sleep quality and sleep architecture in patients with migraine: a meta-analysis [https://doi.org/10.5061/dryad.vq83bk3sf](https://doi.org/10.5061/dryad.vq83bk3sf) There is an additional README file within the RStudio software project that explains how to run the necessary analysis scripts. Data are stored in .csv format. Each file contains a different sleep measure (PSQI, PSG, MIDAS & PSQI) for migraine patients and controls. In each file, there are the following columns: * 1) Authors_year - detailing the authors and year of the published journal article. * 2) Country of publication - the country the article was published in. * 3) Publication Type - what type of publication it is * 4) Year - the year the article was published * 5) Journal - the peer-reviewed journal that the article was published in * 6) M_n = this indicates the sample size (n) for that respective parameter for the migraine group (M) * 7) M_M = this indicates the mean of the m...

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