[media-caption type="image" class="external" path="https://oceanobservatories.org/wp-content/uploads/2020/10/Wiki-Video.png" alt="Video Wiki" link="#"]The OOI is one of five institutions featured in this five-minute wiki. [/media-caption]
The Ocean Observatories Initiative is featured in a new video wiki Leading Institutions In The Field Of Ocean Research. OOI is joined by Texas A&M’s Harte Research Institute for Gulf of Mexico Studies, the Consortium for Ocean Leadership, Saildrone, and the Future Ocean Labs at the Universida de Vigo. The five-minute video, produced by Ezvid Wiki, summarizes the work of each institution and its contribution to understanding of the changing ocean.
Founded in 2011, Ezvid Wiki was the world’s first video wiki, and is now among the top 3,000 websites in the United States. Its YouTube channel has more than 600,000 subscribers and has had more than 350 million views since its founding.[threecol_one]
[button link="https://wiki.ezvid.com/v/5-leading-institutions-in-the-field-of-ocean-research-01a2cd2c" bg_color="#00a9dd" border="#004377" class="bigbutton"]Watch Video[/button]
A new website of curated OOI datasets, called Data Nuggets, has launched. It contains valuable resources ready for integration into educational activities. The nuggets explore various concepts common in upper-level high school and introductory college courses and are designed and packaged to be readily accessible to educators to integrate into their existing curricula. Datasets were selected based on their quality and alignment with a broader OOI Science Theme.
The nuggets were created as part of the National Science Foundation-funded OOI Synthesis & Education project, Ocean Data Lab, conducted by Rutgers University and led by the Consortium for Ocean Leadership.
For now, four data nuggets are available:
- 2015 Axial Seamount Eruption
- Seasonal Phytoplankton Blooms at High Latitudes
- Flux of CO2 Between Ocean and Atmosphere
- Seasonal Mixing of the Irminger Sea Water Column
The material provided in each nugget ranges from a description of scientific relevance to high resolution graphs to how use Python to pull and use OOI data in the classroom. The nuggets are designed to support educators as they design their own activities using OOI data.
More nuggets will be continually added so check the website often.