Sea Surface Temperatures (SST) are vital to coastal and marine spatial planning, global weather prediction, climate change studies, search and rescue, and ecosystem based management. Access has traditionally been through archive centers, where the large size of some SST datasets has been a barrier to their download and use. Cloud based SST data provide an opportunity for data-proximate computing, where exploration and research can occur more rapidly. A Jupyter notebook demonstrating access and some basic analyses will be presented in this talk. Click here to view the Jupyter notebook.