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**Original Study Aim:** In this study, we tested how positive, negative emotions, and their mix, impact responses to an unfair economic offer. **Background:** Several studies documented that emodiversity (i.e., the relative abundance of positive and negative emotions in life) is a better predictor of health than affective metrics focused on positive and negative emotions in separation. This study aimed to provide an experimental test of whether emodiversity predicts and influences cardiovascular function during social interactions (unfair economic offer). **Participants:** This dataset includes 187 participants (53% female) between the ages of 19 and 35 (M = 21.52, SD = 2.73). **Emotions:** In this study, we elicited amusement, tenderness, anger, disgust, fear, sadness, and neutral states. **Physiological Signals:** We measured the psychophysiological reactivity to emotional stimuli using ECG, ICG, EDA, SBP, DBP, CO, and TPR signals. We also collected participants' valence. **Elicitation Methods:** We used validated and reliable film clips selected from emotion-eliciting video clip databases to elicit emotions. Each film clip lasted for 2 minutes. The film clips were short excerpts from commercially available films: for amusement: 1) A fish called Wanda (Surprisingly, the homeowners get inside and discover Archie dancing while naked); 2) The visitors (Visitors damage the letter carrier's car); 3) When Harry met Sally (Sally pretends to have an orgasm in a restaurant); 4) Benny & Joone (Benny plays dumb in the café); for tenderness: 1) The Dead Poets Society (Students climb on their desks to show their solidarity with their professor); 2) Life is beautiful (In a second world war prisoner's camp, a father and a boy talk to the mother through a loudspeaker); for fear: 1) The Blair Witch Project (the characters die in an abandoned house); for anger: 1) American History X (A neo-nazi kills Blackman's by smashing his head on the curb); 2) Man bites dog (A hitman pulls out a gun, yelling at an elderly woman); 3) In the name of the father (Interrogation scene); for disgust: 1) Seven (the police find a decomposing corpse); for sadness 1) Dangerous minds (The teacher informs the class about the death of their classmate); for neutral 1) Blue 1 (A man organizes the drawers in his desk, or a woman walks down an alley); 2) Blue 3 (The character passes a piece of aluminum foil through a car window); 3) The Last Emperor 1 (Conversation between the Emperor and his teacher); 4) Blue 2 (A woman rides up on an escalator, carrying a box); 5) The Last Emperor 2 (City life scenes); 6) Twin Peaks: Fire Walk with Me (the character sweeps the floor in the bar). **Dataset Structure:** This directory contains 1496 CSV files (eight per participant) with psychophysiological information for particular subjects. Name of each of these CSV files follows a consistent naming convention i.e., "S<study_id>_P<participant_id>_<phase_name>.csv”, where “S” stands for study, “P” for partcipants, and “<study_id>” & “<particpant_id>” are natural numbers indicating study and participant unique identifiers; and “<phase_name>” is the name of the phase of an experiment, including ‘Baseline', 'Amusement1', 'Amusement2', 'Amusement3', 'Amusement4', 'Anger1', 'Anger2', 'Anger3', 'Disgust', 'Fear1', 'Neutral1', 'Neutral2', 'Neutral3', 'Neutral4', 'Neutral5', 'Neutral6', 'Sadness1', 'Tenderness1', 'Tenderness2'. All psychophysiological signals recorded during the experiment for each individual are available in a single CSV datafile named “ S<study_id>_P<participant_id>_All.csv”. The description of all experimental-phase labels is explained in the metadata spreadsheet. **For more details, see:** Kosakowski, M., The effect of emodiversity on cardiovascular responses during the interpersonal limited resources conflict. Examinations of affective states and traits within the framework of the polyvagal theory. Unpublished doctoral dissertation. Adam Mickiewicz University, Poznan, Poland (2021).
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