Automated Author ProfileFujinaga, Shohei
Fujinaga, Shohei
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 0.6 (sum of 4 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Additional file 1: Supplementary Table S1. Detailed profiles of the lakes sampled in the present study. Data were collected from Okazaki et al. [38] and Okazaki et al. [73]. † Sampling date and depths in 2010 are shown in parentheses.
Authors
- Okazaki, Yusuke ;
- Fujinaga, Shohei ;
- Salcher, Michaela M. ;
- Callieri, Cristiana ;
- Tanaka, Atsushi ;
- Ayato Kohzu ;
- Oyagi, Hideo ;
- Tamaki, Hideyuki ;
- Shin-Ichi Nakano
Additional file 1: Supplementary Table S1. Detailed profiles of the lakes sampled in the present study. Data were collected from Okazaki et al. [38] and Okazaki et al. [73]. † Sampling date and depths in 2010 are shown in parentheses.
Authors
- Okazaki, Yusuke ;
- Fujinaga, Shohei ;
- Salcher, Michaela M. ;
- Callieri, Cristiana ;
- Tanaka, Atsushi ;
- Ayato Kohzu ;
- Oyagi, Hideo ;
- Tamaki, Hideyuki ;
- Shin-Ichi Nakano
Additional file 4: Supplementary Dataset. Summarized dataset related to amplicon sequence variants (ASVs) and operational taxonomic units (OTUs). The Excel file consists of two worksheets. In the first sheet (named “by_ASV”), each row represents an individual ASV. The columns indicate the corresponding SSU-ASV and OTU IDs, the taxonomy assigned to the OTU, and read abundance in each sample. The nucleotide sequences of the ASVs are shown in the last column. In the second sheet (named “by_OTU”), each row represents an individual OTU. The columns indicate the taxonomy, classification based on freshwater bacterioplankton nomenclature (see Methods for details), the number of SSU-ASVs and ASVs assigned to the OTU, the number of samples in which the OTU was detected, and read abundances in total and in each sample. OTUs are sorted based on the total read number. Representative 16S rRNA gene sequences of the OTUs are shown in the last column. In each sheet, the total number of the reads assigned to each sample is shown in the first row. Abbreviations for sample names follow those in Fig. 5.
Authors
- Okazaki, Yusuke ;
- Fujinaga, Shohei ;
- Salcher, Michaela M. ;
- Callieri, Cristiana ;
- Tanaka, Atsushi ;
- Ayato Kohzu ;
- Oyagi, Hideo ;
- Tamaki, Hideyuki ;
- Shin-Ichi Nakano
Additional file 4: Supplementary Dataset. Summarized dataset related to amplicon sequence variants (ASVs) and operational taxonomic units (OTUs). The Excel file consists of two worksheets. In the first sheet (named “by_ASV”), each row represents an individual ASV. The columns indicate the corresponding SSU-ASV and OTU IDs, the taxonomy assigned to the OTU, and read abundance in each sample. The nucleotide sequences of the ASVs are shown in the last column. In the second sheet (named “by_OTU”), each row represents an individual OTU. The columns indicate the taxonomy, classification based on freshwater bacterioplankton nomenclature (see Methods for details), the number of SSU-ASVs and ASVs assigned to the OTU, the number of samples in which the OTU was detected, and read abundances in total and in each sample. OTUs are sorted based on the total read number. Representative 16S rRNA gene sequences of the OTUs are shown in the last column. In each sheet, the total number of the reads assigned to each sample is shown in the first row. Abbreviations for sample names follow those in Fig. 5.
Authors
- Okazaki, Yusuke ;
- Fujinaga, Shohei ;
- Salcher, Michaela M. ;
- Callieri, Cristiana ;
- Tanaka, Atsushi ;
- Ayato Kohzu ;
- Oyagi, Hideo ;
- Tamaki, Hideyuki ;
- Shin-Ichi Nakano