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Commit c251086a authored by Charles Troupin's avatar Charles Troupin
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added data visualisation tool

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...@@ -405,7 +405,7 @@ Overall the quality of the data tends to deteriorate when the depth increases, a ...@@ -405,7 +405,7 @@ Overall the quality of the data tends to deteriorate when the depth increases, a
\subsection{Nutrients} \subsection{Nutrients}
Samples for nutrient analysis were collected in triplicate from CTD Niskin bottles and immediately frozen for subsequent analysis at the laboratory. Concentrations of dissolved nutrients (Nitrite: NO$_{2}^{-}$, Nitrate: NO$_{3}^{-}$ and Phosphate: PO$_{4}^{3-}$ were determined with an autoanalyzer (Alliance Futura) using colorimetric techniques \citep{GRASSHOFF1983}. The accuracy of the analysis was established using Coastal Seawater Reference Material for Nutrients (MOOS-1, NRCCNRC), resulting in recoveries of 97\%, 95\% and 100\% for NO$_{2}^{-}$, NO$_{3}^{-}$ and PO$_{4}^{3-}$, respectively. Detection limits were NO$_{2}^{-}$:0.005 µM, NO$_{3}^{-}$: 0.1 µM and PO$_{4}^{3-}$: 0.1 µM. Samples for nutrient analysis were collected in triplicate from CTD Niskin bottles and immediately frozen for subsequent analysis at the laboratory. Concentrations of dissolved nutrients (Nitrite: NO$_{2}^{-}$, Nitrate: NO$_{3}^{-}$ and Phosphate: PO$_{4}^{3-}$ were determined with an autoanalyzer (Alliance Futura) using colorimetric techniques \citep{GRASSHOFF1983}. The accuracy of the analysis was established using Coastal Seawater Reference Material for Nutrients (MOOS-1, NRCCNRC), resulting in recoveries of 97\%, 95\% and 100\% for NO$_{2}^{-}$, NO$_{3}^{-}$ and PO$_{4}^{3-}$, respectively. Detection limits were NO$_{2}^{-}$:0.005 $\mu$M, NO$_{3}^{-}$: 0.1 $\mu$M and PO$_{4}^{3-}$: 0.1 $\mu$M.
\section{Description of the database\label{sec:database}} \section{Description of the database\label{sec:database}}
...@@ -473,6 +473,7 @@ MATLAB & Native support since version R2010b\\ ...@@ -473,6 +473,7 @@ MATLAB & Native support since version R2010b\\
\end{tabular} \end{tabular}
\end{table*} \end{table*}
When accessing the data catalog, users are provided a list of in-house visualisation tools designed to offer quick visualisation of the file content. The visualisation tools depend on the type of data: \textit{JWebChart} is used for time series; \textit{Dapp} displays the trajectory of a moving platform on a map; the \textit{profile-viewer} allows the user to select locations on the map and view the corresponding profiles.
\conclusions[Conclusions and perspectives] \conclusions[Conclusions and perspectives]
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