Automated Author Profile
Brosius, Laura
University of Alaska
0000-0001-8579-8346

Current S-Index

0.7

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

0.3

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: 0.7 (sum of 2 datasets Dataset Index scores)

More information here.

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Organic geochemistry of Lake Agassiz sediment cores from southwest Ontario and northern Minnesota in 2023

This dataset presents the basic organic geochemistry of Lake Agassiz sediments composing the majority of six long cores from extent lakes in southwestern Ontario and northern Minnesota. Analyses include dry weight density, organic carbon (C) percent (%) , nitrogen (N) percent (%), carbon-13 (13C) (per mil (‰)) and nitrogen-15 (15N) (per mil). These data were used to calculate variable rates of organic carbon accumulation in sediments resulting in part from changes in glacial meltwater inputs to Lake Agassiz. Organic C/N ratios and stable isotope values were also used to infer potential changes in organic matter sources to this lake's sediments over time.

Authors

Brosius, Laura ;
Breckenridge, Andy ;
Walter Anthony, Katey

0 Citations0 Mentions46% FAIR0.2 Dataset Index

10.18739/a25x25f6k2024

Estimates of panarctic lake methane emissions from 18ka to present

This dataset includes model estimates of methane emissions from panarctic lakes in 100-year time steps from 18 ka to present based on a distribution of lake basal ages compiled from the literature (https://doi.pangaea.de/10.1594/PANGAEA.894737). Methane emissions from "thermokarst" and "glacial" lake types, and from total lakes, are estimated under two different modeling scenarios.