Integrated Ocean Observing System (IOOS)

Mentors: Student: Lohith Munakala

<p>Sea Floor Sampling is a tedious job and requires a lot of manual work. This project intends to automate the process of labelling the videos using object detection and classification methods. This will reduce the amount of time taken drastically.</p> <p>IOOS Data Demo Center Migration to Jupyterbook. JupyterBook is a simple yet elegant way to show the documentation of one's work. It can be used for scientific purposes as it builds publication-quality books. The aim of the project is to move the existing Demo Data Center to a jupyterbook style and automate the process.</p>

Mentors: Student: Qi Zeng

<p>ERDDAP is a data server widely used in many organizations over the world to upload and gather data sets on the ocean environment, but currently it only supports English and not all users are proficient in English. This project will create an automated tool to translate the user interface of ERDDAP into any target language, and also modify ERDDAP’s structure to allow one ERDDAP setup to display messages in multiple languages to enhance the accessibility of the oceanographic data for the scientific community.</p>

Mentors: Student: Callum Rollo

<p>This proposal will add griddap functionality to the <strong>erddapy</strong> package and simplify the API. Support for griddap will enable near real time access to gridded datasets such as climate models and weather forecasts via a simple Python API. This access will benefit oceanographers, search and rescue teams and the maritime industry at large. Additional tasks include enabling high level, simplified queries for easy access and improving the <strong>gliderpy</strong> package to make swathes of high resolution ocean glider data more readily available.</p>