SST_front_data: ocean thermal fronts detected by the Cayula and Cornillon SIED algorithm

This dataset includes the post-processed data and a demo MATLAB script used for the paper titled "Global trends of fronts in a warming ocean and impacts on phytoplankton productivity" <strong>SST_FRONT_data.zip</strong> contains maps of sea surface temperature (SST) fronts detected by the Cayula and Cornillon single image edge detection algorithm over global ocean warming hotspot regions and covering the period 2003-2020. The original data was obtained from NASA OB.DAAC MODIS sea surface temperature (SST) product (MODIS Aqua Level 3 SST MID-IR 8 Day 4km Nighttime V2019.0: https://podaac.jpl.nasa.gov/dataset/MODIS_AQUA_L3_SST_MID-IR_8DAY_4KM_NIGHTTIME_V2019.0?ids=&amp;values=&amp;search=MODIS%20Aqua&amp;provider=POCLOUD). <strong>Fdens_Ffreq_Fstre_example.mlx</strong> is a MATLAB live script showing how to compute metrics of fronts based on frontal maps: frontal frequency (Ffreq), frontal density (Fdens), and frontal strength (Fstre).