THINGS-data: A multimodal collection of large-scale datasets for investigating object representations in brain and behavior
Posted on 2023-01-17 - 19:30 authored by Martin Hebart
Here we provide all datasets which are part of the THINGS-data collection comprising functional MRI, magnetoencephalographic recordings, and 4.70 million similarity judgments in response to thousands of photographic images for up to 1,854 object concepts. THINGS-data is unique in its breadth of richly-annotated objects, allowing for testing countless hypotheses at scale while assessing the reproducibility of previous findings. Beyond the unique insights promised by each individual dataset, the multimodality of THINGS-data allows combining datasets for a much broader view into object processing than previously possible.
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Hebart, Martin; Contier, Oliver; Teichmann, Lina; Rockter, Adam; Zheng, Charles; Kidder, Alexis; et al. (2023). THINGS-data: A multimodal collection of large-scale datasets for investigating object representations in brain and behavior. Figshare+. Collection. https://doi.org/10.25452/figshare.plus.c.6161151.v1