Abstract
Satellite altimetry has revolutionized our understanding of ocean physics by providing global sea-surface height data. These measurements reveal the intricate dynamics of ocean mesoscale strain and vortices, and their interactions with multiple physical scales in the oceans. Although surface dynamics has been extensively studied, investigating the vertical structure of mesoscale eddies globally remains a computational challenge. In this study, we combine the comprehensive World Ocean Database (WOD) with a database of Eulerian mesoscale eddies (META3.2 DT). We pre-process and filter the WOD data, selecting quality controlled profiles at local depths greater than 100 m. By integrating WOD data with altimetry-derived mesoscale eddies, we aim to facilitate future studies on the role of mesoscale vortices in multiple processes, such as heat, mass and nutrient transport, and water-mass subduction. The analysis is performed using high-performance computing resources, with Python packages for parallel processing of the data and analysis of more than 4.2 million profiles with more than 35 million vortex observations. The dataset is available for download from Zenodo at 10.5281/zenodo.17425853 and by direct access through an OPeNDAP/HTTP server and an S3 bucket in icechunk format. Additionally, we provide the code for performing the vortex-profile matching, along with an example of use to facilitate future updates to the code and merged data. This dataset supports further research on eddy vertical structure, biogeochemical processes, and their role in climate systems across different regions and time periods.