Dataset for Characterizing the Extracellular Vesicle Proteomic Landscape of the Human Airway using In vitro Organotypic Multi-Cellular Models

These data represent underlying data generated for the study titled 'Characterizing the Extracellular Vesicle Proteomic Landscape of the Human Airway using In vitro Organotypic Multi-Cellular Models'. Data include extracellular vesicle particle count, size distribution, and charge information from nanoparticle tracking analysis; proteomic signature data from mass spectrometry analysis of isolated extracellular vesicles; in vitro culture permeability data; and cell viability data.