PT - JOURNAL ARTICLE AU - Ayan Sengupta AU - Falko R. Kaule AU - J. Swaroop Guntupalli AU - Michael B. Hoffmann AU - Christian Häusler AU - Jörg Stadler AU - Michael Hanke TI - An extension of the <em>studyforrest</em> dataset for vision research AID - 10.1101/046573 DP - 2016 Jan 01 TA - bioRxiv PG - 046573 4099 - http://biorxiv.org/content/early/2016/03/31/046573.short 4100 - http://biorxiv.org/content/early/2016/03/31/046573.full AB - The studyforrest (http://studyforrest.org) dataset is likely the largest neuroimag-ing dataset on natural language and story processing publicly available today. In this article, along with a companion publication, we present an update of this dataset that extends its scope to vision and multi-sensory research. 15 participants of the original cohort volunteered for a series of additional studies: a clinical examination of visual function, a standard retinotopic mapping procedure, and a localization of higher visual areas — such as the fusiform face area. The combination of this update, the previous data releases for the dataset, and the companion publication, which includes neuroimaging and eye tracking data from natural stimulation with a motion picture, form an extremely versatile and comprehensive resource for brain imaging research — with almost six hours of functional neuroimaging data across five different stimulation paradigms for each participant. Furthermore, we describe employed paradigms and present results that document the quality of the data for the purpose of characterising major properties of participants’ visual processing stream.