Data for: Saturation of ocean surface wave slopes observed during hurricanes

Observational wave data and modeled wind data to accompany the article "Saturation of ocean surface wave slopes observed during hurricanes," which is currently in revision for publication in Geophysical Research Letters (a preprint is attached as a supplement). The observations include targeted aerial deployments into Hurricane Ian (2022) and opportunistic measurements from the free-drifting Sofar Ocean Spotter global network in Hurricane Fiona (2022). Surface wind speeds are modeled using the U.S. Naval Research Laboratory's Coupled Ocean-Atmosphere Mesoscale Prediction System for Tropical Cyclones (COAMPS-TC). The datasets are table-like and include the following: 1) hourly records of surface wave statistics in the form of scalar energy spectra, directional moments, derived products (including mean square slope), and modeled wind speeds; 2) data to reproduce the binned mean square slopes and model wind speeds presented in the article; 3) data to reproduce the mean energy density versus wind speed plot; and 4) data to reproduce the mean energy density versus wave age plot. ; The datasets are stored as text-based JSON and CSV files which can be read without the use of special software. The JSON files are created using the Python Pandas package `DataFrame.to_json` method with orient='records'. Example code is provided in MATLAB and Python. Funding provided by: U.S. National Ocean Partnership Program* Crossref Funder Registry ID: Award Number: Funding provided by: National Science Foundation Crossref Funder Registry ID: http://dx.doi.org/10.13039/100000001 Award Number: DGE-2140004