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Global Thermosaliniograph Dataset

<p>%%%%%%%%%%%%%%%%%%<br>Global Thermosaliniograph Dataset<br>%%%%%%%%%%%%%%%%%%<br>The dataset tsg_2020.mat is an updated version of the compiled ship thermosalinograph dataset that was originally used in Drushka et al. (2019). Details below.&nbsp;</p> <p><br>%%%%%%%%<br>Variable Names<br>%%%%%%%%<br>t = time in matlab datenum format<br>T = temperature<br>S = salinity<br>x = longitude<br>y = latitude<br>callsign = ship callsign, numbers correspond to call signs in call_sign.m<br>dataset = &nbsp;number corresponds with the names of the original dataset (see list below)</p> <p>%%%%%%%%%%%%<br>Original Dataset Names<br>%%%%%%%%%%%%<br>2: GOSUD database&nbsp;<br>4: SSS-OS database<br>5: PANGAEA database - R/V Polarstern<br>6: R/V Survostral<br>9: SAMOS database<br>10: PANGAEA database - &nbsp;R/V Poseidon<br>11: AODN database<br>12: M/V Oleander&nbsp;<br>15: Cruise data provided by Sophie Clayton<br>16: SAMOS database (files not QC'dby SAMOS, QC'd as described below)<br>22: JAMSTEC database<br>24: SOCAT 2020 database<br>25: LEGOS/SSSOS (update from dataset 4)<br>26: SAMOS database (update)<br>27: GOSUD database (update)</p> <p>%%%%%%%%%%%%%%%<br>Updated Version Description&nbsp;<br>%%%%%%%%%%%%%%%<br>The following describes what has been updated compared to the data used in Drushka et al. (2019).</p> <p>1. SOCAT: &nbsp;https://www.socat.info/index.php/data-access/<br>- &nbsp; &nbsp; &nbsp; Data up to 2019 included. Basic QC performed by comparing to Argo data and discarding outliers.<br>&nbsp; &nbsp;<br>2. SSS-OS (LEGOS): &nbsp;http://sss.sedoo.fr/<br>- &nbsp; &nbsp; &nbsp; Data up to 12/2019 included. Salinity data QC&rsquo;d by LEGOS; basic QC performed on temperature by comparing to Argo data and discarding outliers.&nbsp;</p> <p>3. SAMOS https://samos.coaps.fsu.edu<br>- &nbsp; &nbsp; &nbsp; Data flatted as &ldquo;good data with 0-5% flagged&rdquo; " up to 12/2019 included<br>&nbsp;<br>4. GOSUD - http://www.gosud.org/<br>- &nbsp; &nbsp; &nbsp; Delayed-mode data up to 12/2019 included</p>

ShareScore

36/100

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
8
Engagement
0