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This study investigated the presence of dynamic patterns of interpersonal coordination in extended deceptive conversations across multi-modal channels of behavior. Using a "devil's advocate" paradigm, the researchers experimentally elicited deception and truth across controversial social and political topics in which conversational partners either agreed or disagreed, and where one partner was surreptitiously asked to argue an opinion opposite of what he or she really believed. The researchers focused on interpersonal coordination as an emergent behavioral signal that captured inter-dependencies between conversational partners, both as the coupling of head movements over the span of milliseconds, measured via a windowed lagged cross correlation (WLCC) technique, and more global temporal dependencies across speech rate, using cross recurrence quantification analysis (CRQA). Another focus that was considered was how interpersonal coordination might be shaped by strategic, adaptive conversational goals associated with deception. This collection includes both qualitative transcripts and a quantitative dataset including respondent demographics (including sex, age, and ethnicity). The qualitative dataset consists of 94 written transcripts of audio-recorded conversations, lasting eight minutes each in length. The quantitative dataset includes 5 variables for 102 cases.