Specific conductance and major ion composition in United States lakes and their natural and human drivers
<p>This dataset includes specific conductance and major ion data and their natural and human drivers for lakes across the conterminous US. The data were collected for and analyzed in the paper: </p> <p>Sun, X., Cheruvelil, K.S., Hanly, P.J., Webster, K.E., & Soranno, P.A. Natural and human drivers of specific conductance and major ion composition in United States lakes. (<em>Under Review)</em></p> <p>The <strong>conductivity data all factors trans.csv</strong> dataset contains specific conductance (as a proxy for salinity) and natural and human factor data for 9,785 lakes.</p> <p>The<strong> ion cluster data all factors trans.csv</strong> dataset contains major ion concentrations (in ion equivalent concentration, ueq/L), the cluster and ion group each lake was assigned to, and natural and human factor data for 1,218 lakes.</p> <p>Detailed explanations of each variable and data sources can be found in the <strong>metadata file</strong> and the supplementary Table S1 of the manuscript. Some natural and human factors were natural log transformed, and information about the transformation applied can be found in the supplementary Table S1 of the manuscript.</p> <p>The <strong>process.R</strong> file contains R code used for filtering and pre-processing the SC and ion concentration data, and the <strong>analysis_code.R</strong> file contains R code applied to analyze the data.</p> <p>Please contact Xinyu Sun (sunxiny9@msu.edu) for any questions and/or further clarification/explanation.</p>
ShareScore
40/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 12
- Reuse readiness
- 8
- Engagement
- 8