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Highlights • CCEPs recorded with hd-EEG and SEEG are correlated. • hd-EEG recording is highly sensitive to changes in stimulation parameters. • Hd-EEG responses to SPES are characterized by site-specific mean frequencies. • hd-EEG responses to SPES are larger than typical sensory evoked potentials. • An open dataset of simultaneous hd-EEG and SEEG during SPES is provided.
Abstract Forests are major components of the global carbon cycle, providing substantial feedback to atmospheric greenhouse gas concentrations1. Our ability to understand and predict changes in the forest carbon cycle—particularly net primary productivity and carbon storage—increasingly relies on models that represent biological processes across several scales of biological organization, from tree leaves to forest stands2,3.
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