Automated Author Profile
Nogovitcyn, Aleksandr
Hokkaido University

Current S-Index

1.8

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

0.9

Average Dataset Index per dataset

Total Datasets

Total datasets for this author

Average FAIR Score

30.8%

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: 1.8 (sum of 2 datasets Dataset Index scores)

More information here.

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Larch needle C/N and carbon and nitrogen isotopes at Spasskaya Pad (Version: 1.00)

The dataset is C/N ratio and carbon and nitrogen isotopes of larch needles observed at Spasskaya Pad Experimental Forest in northeastern Siberia during the period from 1999 to 2019. Larch needles were sampled from four to eight trees in August and average values were calculated.

Authors

Nogovitcyn, Aleksandr ;
Shakhmatov, Ruslan ;
Tei, Shunsuke ;
Popova, Alexandra ;
Saito, Soma ;
Maximov, Trofim ;
Sugimoto, Atsuko

1 Citation0 Mentions31% FAIR1.1 Dataset Index

10.17592/001.2023021701January 2023

Soil moisture at Spasskaya Pad (Version: 1.00)

The datasets are daily data of soil moisture water equivalent at Spasskaya Pad Experimental Forest in northeastern Siberia during the summer period from 1998 to 2019. Soil mositure water equivalent was estimated from the observations at 4 sites by the similar method developed by Sugimoto et al. 2003, from the regression relationships of TDR measurements between manual (Moisture Point) and automatic observations by three measurement systems (TRIME IMKO P2, Decagon ECH2O, Sentek EnviroSmart).