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This data was then sent to an iPhone, iPod, or Android phone, and could be automatically uploaded to a personal and private online sleep database.
Data of 148 subjects (67 males and 81 females), age between 20 and 86 (mean 51 years and standard deviation 20 years), from the sleep database created during the EU SIESTA project (1997 2000) were used (Klösch et al., 2001). 2 One aim of the SIESTA project was to create a normative database of disorder healthy and sleep-disturbed patients.
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A revised template of 40 word search categories, built into the website of the Sleep and Dream Database (SDDb), is applied to four "classic" sets of dreams: The male and female "Norm" dreams of Hall and Van de Castle (1966), the "Engine Man" dreams discussed by Hobson (1988), and the "Barb Sanders Baseline 250" dreams examined by Domhoff (2003).
Nightmare recall: These results come from 2010 Demographic Survey in the Sleep and Dream Database.
Frequency of wolf references for women and men come from the Sleep and Dream Database.
He is director of the Sleep and Dream Database, a digital archive and search engine designed to promote empirical dream research.
New research technologies, such as those available at the Sleep and Dream Database (SDDb), are making it possible to explore cultural themes and sociological patterns in dreaming with great flexibility, precision, and transparency.
Although this might not be possible for all adverse events of interest (e.g. sleep abnormalities), such databases may provide important health information relevant for the systematic study of side effects.
The Zeo, for example, has already generated the largest-ever database on sleep stages, which revealed differences between men and women in REM-sleep quantity.
These are the information reported from the small cells (e.g., their current load), the pilot symbol measurement reports of small cells in on state, and the reported geographical position information of the UE, necessary to obtain estimates of the UE small cell channels of the small cells in sleep state from the database.
We wish to thank Erica Harris and Nikita Patel for their help with the database of sleep traits and logistic support, Chris Venditti and Chris Organ for their advice with the analysis in BayesTraits.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com