Research project description: Figure-ground segmentation is a critical function that may be supported by “border-ownership” neural systems that conditionally respond to object borders. We measured border-ownership-dependent tilt aftereffects to figures defined by motion parallax or binocular disparity and found aftereffects for both cues. These effects were transferable between cues, but selective for figure-ground depth order, suggesting that the neural systems supporting figure-ground segmentation have strict depth order selectivity and access to multiple depth cues that are jointly encoded. Data description: This dataset comprises two .mat files, one for each experiment in the project. Each file contains raw, normalized, and average bias and slope parameters for each subject/condition.