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Supplementary materials for the article: "Where and when the mesopelagic carbon budget balances, if at all", Oliver et al., 2023

<p>This is the supplementary materials for the article: &quot;Where and when the mesopelagic carbon budget balances, if at all&quot;, Oliver et al., 2023</p> <p>This folder contains:</p> <p>MLD.mat<br> - The annual maximum of monthly-averaged mixed layer depth (m) in ECCO:<br> 1992-2001 mean (data retrieved from ECCO Consortium et al., 2023). The mixed layer<br> depth is determined by the depth where waters are first 0.8◦ C colder than the surface, as<br> per the Kara Formula (Kara et al., 2000)</p> <p>FBGC3mm.mat<br> - Sinking detrital flux [mmol P/m3/d], produced by MOPS (Kriest et al., 2015), monthly average</p> <p>FBGC4mm.mat<br> - Detritus removal via remineralisation and denitrification [mmol P/m3/d], produced by MOPS (Kriest et al., 2015), monthly average</p> <p>FBGC7mm.mat<br> - Detritus creation [mmol P/m3/d], produced by MOPS (Kriest et al., 2015), monthly average</p> <p>DETmm.mat<br> - Sinking Detritus [mmol P/m3/d], produced by MOPS (Kriest et al., 2015), monthly average</p> <p>NPP.mat<br> - Primary production [mmol P/m3/d], produced by MOPS (Kriest et al., 2015), annual average</p> <p>export.mat &nbsp;<br> - Export production [mmol P/m3/d], produced by MOPS (Kriest et al., 2015), annual average</p> <p>grid.mat<br> - model grid information for ECCO transport matrix (see Khatiwala, S. (2018): https://zenodo.org/record/1246300<br> 463doi: 10.5281/ZENODO.1246300)</p> <p>cmap5.mat<br> - matlab colormap &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;</p> <p>bluewhitered.mat&nbsp;<br> - matlab colormap &nbsp; &nbsp; &nbsp;&nbsp;</p> <p>cmap12.mat<br> - matlab colormap</p> <p>PlotPaperFigures.m<br> - matlab script for plotting journal paper figures for &quot;Where and when the mesopelagic carbon budget balances, if at all&quot;, Oliver et al., 2023</p> <p>findClosest.m<br> - matlab script to find the closest value in a list of values to a specified value</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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