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South Atlantic Ocean profile dataset: identification of near-Antarctic profiles using unsupervised classification

<p>This dataset consists of temperature and salinity profiles taken by Argo floats (<a href="http://argo.ucsd.edu">http://argo.ucsd.edu</a>) and ship-based CTDs as recorded in the World Ocean Database (<a href="https://www.ncei.noaa.gov/products/world-ocean-database">https://www.ncei.noaa.gov/products/world-ocean-database</a>). It covers 65&deg;W to 80&deg;E in longitude, 85&deg;S to 30&deg;S in latitude (roughly the South Atlantic Ocean and a part of the Indian Ocean). In the vertical, it covers the top 1000m of the ocean.&nbsp;</p> <p>It was prepared using MITprof, which is a toolbox for Matlab:<br> <br> Gael Forget. (2017). gaelforget/MITprof: various updates and minor improvements (v1.0.1). Zenodo. <a href="https://doi.org/10.5281/zenodo.834078">https://doi.org/10.5281/zenodo.834078</a></p> <p>This dataset should be considered the &quot;initial&quot; dataset that has been classified into five sub-groups using a profile classification model (PCM) built on Gaussian mixture modelling.&nbsp;The five-component PCM&nbsp;consists of these profile types: (1) subtropical Atlantic, (2) subtropical Indian, (3) circumpolar (more northern), (4) circumpolar (more southern), and (5) near-Antarctic.</p>

ShareScore

32/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
16
Reuse readiness
0
Engagement
4

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