Low Frequency Ambient Noise Dynamics and Trends: Cape Leeuwin, Australia
<p>Data files and code for : Low Frequency Ambient Noise Dynamics and Trends: Cape Leeuwin, Australia</p> <p>R version 4.X used for plots and analysis. Packages: entropy, foreach, rEDM</p> <ol> <li>Plots.R : Create plots for manuscript. </li> <li>MI.R : Evaluate lagged Mutual Information of random data segments</li> <li>CCM.R : Convergent cross mapping of Ambient Noise with teleconnections</li> <li>EMM_Surrogate.R : Evaluate CCM significance with randomized surrogates</li> </ol> <p>Python 3.X used for plots and analysis. Packages: pandas, matplotlib, emd, pyEDM</p> <ol> <li>Figure5,py Figure14.py : Create plots for manuscript</li> <li>EMD.py : Compute empirical mode decompositions</li> </ol> <p> </p>
ShareScore
44/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 20
- Reuse readiness
- 8
- Engagement
- 4