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Dataset: Coral high molecular weight carbohydrates support opportunistic microbes in bacterioplankton from an algae-dominated reef

<p>This dataset contains raw data for figures 5 (genus-level microbial community compositions) and 6 (predicted metabolic functions, pathway types), R code for PERMANOVAs (Table 3), DESeq2 and random forest (rfpermute) analyses, and R code to generate figures 5, 6b, S5 &amp; S6.</p> <p>Overview of .txt files:</p> <table> <tbody> <tr> <td> <p>Genus_16S_Counts.txt</p> </td> <td> <p>Counts data used for DESeq2 analysis (Fig. 5c).</p> </td> </tr> <tr> <td> <p>Genus_16S_relAbund.txt</p> </td> <td> <p>Relative abundance data used for Fig. 5a, b &amp; d.</p> </td> </tr> <tr> <td> <p>MicFunPred_MetaCyc_types_all</p> </td> <td> <p>Predicted pathway abundance data for all pathway types used for DESeq2 (Fig. 6b), PERMANOVA (Table 3) and column clustering of Fig. 6b.</p> </td> </tr> <tr> <td> <p>MicFunPred_MetaCyc_AA_types.txt</p> </td> <td> <p>Amino acids (Fig. 6b)</p> </td> </tr> <tr> <td> <p>MicFunPred_MetaCyc_CH_types.txt</p> </td> <td> <p>Carbohydrates (Fig. 6b)</p> </td> </tr> <tr> <td> <p>MicFunPred_MetaCyc_EM _types.txt</p> </td> <td> <p>Energy metabolism (Fig. 6b)</p> </td> </tr> <tr> <td> <p>MicFunPred_MetaCyc_FAL _types.txt</p> </td> <td> <p>Fatty acids and lipids (Fig. 6b)</p> </td> </tr> <tr> <td> <p>MicFunPred_MetaCyc_SM _types.txt</p> </td> <td> <p>Secondary metabolism (Fig. 6b)</p> </td> </tr> <tr> <td> <p>MicFunPred_MetaCyc_OBiosyn _types.txt</p> </td> <td> <p>Other biosynthesis (Fig. S6)</p> </td> </tr> <tr> <td> <p>MicFunPred_MetaCyc_ODeg _types.txt</p> </td> <td> <p>Other degradation (Fig. S6)</p> </td> </tr> </tbody> </table>

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