Raw high-frequency EK80 echosounder datasets from autonomous sailbuoy campaign in Lofoten/Vesterålen 2018
<p>In 2018, the autonomous surface vehicle sailbuoy <a href="http://sailbuoy.no/13-news/74-introducing-the-sb-echo">Echo</a> surveyed the coastal shelf surrounding the Lofoten and Vesterålen islands (aka. LoVe), Norway. The Echo was equipped with a <a href="https://www.kongsberg.com/maritime/products/ocean-science/ocean-science/es_scientific/transducers-for-scientific-echo-sounders/simrad-wbt-mini">EK80</a> high-frequency echosounder, and over the course of 131 field days, 8791 <code>.raw</code> EK80 echosounder files were captured, with a total size of ~750 GB.</p> <p>In 2022, Akvaplan-niva published the complete, raw data from Echo's LoVe 2018 campaign in their research archive on <a href="https://zenodo.org/communities/akvaplan-niva/search?page=1&size=20&q=sailbuoy%20ek80%202018">Zenodo</a>.</p> <p>EK80 datasets from Sailbuoy Echo in LoVe 2018:</p> <ul> <li><a href="https://doi.org/10.5281/zenodo.6839067">2018-03-08/2018-03-12</a></li> <li><a href="https://doi.org/10.5281/zenodo.6839167">2018-03-13/2018-03-17</a></li> <li><a href="https://doi.org/10.5281/zenodo.6839191">2018-03-18/2018-04-01</a></li> <li><a href="https://doi.org/10.5281/zenodo.6839345">2018-04-02/2018-04-05</a></li> <li><a href="https://doi.org/10.5281/zenodo.6839512">2018-04-06/2018-04-26</a></li> <li><a href="https://doi.org/10.5281/zenodo.6839520">2018-04-27/2018-05-03</a></li> <li><a href="https://doi.org/10.5281/zenodo.6839542">2018-05-04/2018-05-30</a></li> <li><a href="https://doi.org/10.5281/zenodo.6839550">2018-05-31/2018-06-02</a></li> <li><a href="https://doi.org/10.5281/zenodo.6834583">2018-06-03/2018-06-06</a></li> <li><a href="https://doi.org/10.5281/zenodo.6839566">2018-06-07/2018-06-09</a></li> <li><a href="https://doi.org/10.5281/zenodo.6839576">2018-06-10/2018-06-12</a></li> <li><a href="https://doi.org/10.5281/zenodo.6787552">2018-06-13/2018-06-17</a></li> <li><a href="https://doi.org/10.5281/zenodo.6786850">2018-06-18/2018-06-30</a></li> <li><a href="https://doi.org/10.5281/zenodo.6822565">2018-07-01/2018-07-11</a></li> <li><a href="https://doi.org/10.5281/zenodo.6839593">2018-07-12/2018-07-17</a></li> <li><a href="https://doi.org/10.5281/zenodo.6839740">2018-07-18/2018-07-28</a></li> <li><a href="https://doi.org/10.5281/zenodo.6839756">2018-07-29/2018-08-22</a></li> </ul> <p>See also: <a href="https://doi.org/10.5281/zenodo.6786918">Real-time oceanography captured by autonomous sailbuoy in Lofoten/Vesterålen 2018</a></p> <p>The sailbuoy Echo 2018 LoVe campaign was part of the research project<br> <a href="https://prosjektbanken.forskningsradet.no/en/project/FORISS/269188">Unmanned ocean vehicles, a flexible and cost-efficient offshore monitoring and data management approach</a></p>
ShareScore
36/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 20
- Reuse readiness
- 8
- Engagement
- 0