Automated Author Profile

Chen, Nan

Sun Yat-sen University

Current S-Index

1.0

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

0.5

Average Dataset Index per dataset

Total Datasets

2

Total datasets for this author

Average FAIR Score

15.4%

Average FAIR Score per dataset

Total Citations

2

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Additional file 1 of Depth-related variability in viral communities in highly stratified sulfidic mine tailings

Additional file 1: Table S1 Biotic and abiotic data for the tailings samples from the Fankou Pb/Zn Mine located in Guangdong Province, P.R. China. Table S2 Detailed information of viral sequences identified in the tailings samples. Table S3 Normalized coverage and taxonomic affiliation of the viral OTUs (vOTUs) identified in the tailings samples. Table S4 16S rRNA gene OTU table and taxonomy of the prokaryotes in the tailings samples. Table S5 Virus-host linkages predicted by prophages and shared genomic matches with host genomes and by protospacer-spacer matches. Table S6 Detailed functional and taxonomic descriptions of viral genes predicted with viral sequences identified in the tailings samples. Indicator COGs in the surface and deeper mine tailings are shown in red and blue, respectively. Table S7 Normalized coverage and functional description of indicator COGs in the surface tailings (red) and deeper layers (blue). Table S8 Detailed information of predicted viral sequences encoding indicator COGs in the surface tailings (red), deeper layers (blue), and both communities (black). Table S9 Detailed functional description and sequence information of the seven viral genomes containing genes involved in assimilatory sulfate reduction (COG0175). Table S10 Homologs of assimilatory sulfate reduction genes (COG0175) and corresponding taxonomy recruited from eggNOG v5.0.0 database.

Authors

  • Gao, Shao-Ming ;
  • Schippers, Axel ;
  • Chen, Nan ;
  • Yuan, Yang ;
  • Zhang, Miao-Miao ;
  • Li, Qi ;
  • Liao, Bin ;
  • Shu, Wen-Sheng ;
  • Huang, Li-Nan
1 Citation0 Mentions15% FAIR0.5 Dataset Index
10.6084/m9.figshare.12456875January 2020

Additional file 1 of Depth-related variability in viral communities in highly stratified sulfidic mine tailings

Additional file 1: Table S1 Biotic and abiotic data for the tailings samples from the Fankou Pb/Zn Mine located in Guangdong Province, P.R. China. Table S2 Detailed information of viral sequences identified in the tailings samples. Table S3 Normalized coverage and taxonomic affiliation of the viral OTUs (vOTUs) identified in the tailings samples. Table S4 16S rRNA gene OTU table and taxonomy of the prokaryotes in the tailings samples. Table S5 Virus-host linkages predicted by prophages and shared genomic matches with host genomes and by protospacer-spacer matches. Table S6 Detailed functional and taxonomic descriptions of viral genes predicted with viral sequences identified in the tailings samples. Indicator COGs in the surface and deeper mine tailings are shown in red and blue, respectively. Table S7 Normalized coverage and functional description of indicator COGs in the surface tailings (red) and deeper layers (blue). Table S8 Detailed information of predicted viral sequences encoding indicator COGs in the surface tailings (red), deeper layers (blue), and both communities (black). Table S9 Detailed functional description and sequence information of the seven viral genomes containing genes involved in assimilatory sulfate reduction (COG0175). Table S10 Homologs of assimilatory sulfate reduction genes (COG0175) and corresponding taxonomy recruited from eggNOG v5.0.0 database.

Authors

  • Gao, Shao-Ming ;
  • Schippers, Axel ;
  • Chen, Nan ;
  • Yuan, Yang ;
  • Zhang, Miao-Miao ;
  • Li, Qi ;
  • Liao, Bin ;
  • Shu, Wen-Sheng ;
  • Huang, Li-Nan
1 Citation0 Mentions15% FAIR0.5 Dataset Index
10.6084/m9.figshare.12456875.v1January 2020