This dataset, sleep_deprivation_tbl_df, is a tibble containing data from a 2024 study conducted in the Middle East that investigated the effects of sleep deprivation on cognitive performance and emotional regulation. The dataset includes 60 participants from diverse backgrounds and captures detailed information on sleep duration, sleep quality, daytime sleepiness, cognitive performance metrics (reaction times and memory accuracy), and emotional stability. Additionally, the dataset records demographic and lifestyle factors such as age, gender, BMI, caffeine intake, physical activity level, and stress level.
data(sleep_deprivation_tbl_df)A tibble with 60 observations and 14 variables:
Unique identifier for each participant (character)
Average hours of sleep per night (numeric)
Self-reported sleep quality score (numeric)
Level of daytime sleepiness (numeric)
Reaction time on the Stroop cognitive task (numeric)
Accuracy score on the N-Back working memory task (numeric)
Score reflecting emotional regulation ability (numeric)
Reaction time on the Psychomotor Vigilance Task (numeric)
Age of the participant in years (numeric)
Gender of the participant (character)
Body Mass Index (numeric)
Daily caffeine intake (numeric)
Self-reported physical activity level (numeric)
Self-reported stress level (numeric)
The dataset name has been kept as sleep_deprivation_tbl_df to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the NeuroDataSets package and assists users in identifying its specific characteristics. The suffix tbl_df indicates that the dataset is a tibble (a modern data frame). The original content has not been modified in any way. Variable names and values are provided exactly as they appear in the source.