SWAN-Idiap dataset is a multimodal biometric dataset (face, voice, and periocular) acquired using a smartphone. The SWAN-Idiap dataset comprises 150 subjects that are captured in six different sessions reflecting real-life scenarios of smartphone assisted authentication. One of the unique features of this dataset is that it is collected in four different geographic locations representing a diverse population and ethnicity. Additionally, it also contains a multimodal Presentation Attack (PA) or spoofing dataset using low-cost Presentation Attack Instruments (PAI) such as print and electronic display attacks. The novel acquisition protocols and the diversity of the data subjects collected from different geographic locations will allow developing a novel algorithm for either unimodal or multimodal biometrics.