GENERAL INFORMATION This data is described in the following publication: Cortex-wide neural dynamics predict behavioral states and provide a neural basis for resting-state dynamic functional connectivity, Somayeh Shahsavarani1,2,5, David N. Thibodeaux1,5, Weihao Xu1, Sharon H. Kim1, Fatema Lodgher1, Chinwendu Nwokeabia1, Morgan Cambareri1, Alexis J. Yagielski1, Hanzhi T. Zhao1, Daniel A. Handwerker2, Javier Gonzalez-Castillo2, Peter A. Bandettini2,3, Elizabeth M. C. Hillman1,4,6,* Cell Reports (2023): https://doi.org/10.1016/j.celrep.2023.112527 1. Mortimer B. Zuckerman Mind Brain Behavior Institute and Department of Biomedical Engineering, Columbia University, New York, NY, USA 2. Section on Functional Imaging Methods, Laboratory of Brain and Cognition, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA 3. Functional MRI Core Facility, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA 4. Department of Radiology, Columbia University Irving Medical Center, New York, NY, USA 5. These authors contributed equally 6. Lead contact *Correspondence: elizabeth.hillman@columbia.edu Preprocessing and analysis code that generated / can be used with this data is posted at: GitHub: https://doi.org/10.5281/zenodo.7860561 DATA OVERVIEW This dataset comprises simultaneous neuronal and hemodynamic data collected using wide-field optical mapping (WFOM) techniques. The data were obtained from head-fixed mice that were allowed to behave spontaneously without any external stimulation. For more detail, please refer to the Readme file.

Funding for this work was provided by the following grants: National Institutes of Health: RF1 MH114276-01 National Institutes of Health: U19 NS104649 Simons Foundation: Simons Collaboration on the Global Brain (542991) National Institutes of Health: R01NS076628 National Institutes of Health: R01NS063226 National Science Foundation: 0954796 Fondation Leducq: 22CVD01 National Institutes of Health: ZIAMH002783