Revelo Aristizabal et al. (2025) Time-Frequency Analysis of Soil–Atmosphere Interactions

Identification

• Journal: Mendeley Data
• Year: 2025
• Date: 2025-11-06
• Authors: Revelo Aristizabal, Mauricio Felipe, Ruiz Restrepo, Daniel Felipe, Paniagua-Arroyave, Juan Felipe
• DOI: 10.17632/55swnv5szz

Research Groups

Universidad EAFIT Escuela de Ciencias y Humanidades

Short Summary

This dataset provides preprocessed time series of soil and atmospheric variables, along with results from Ensemble Empirical Mode Decomposition (EEMD) analysis, to facilitate time-frequency analysis of soil-atmosphere interactions across three study sites.

Objective

• To provide preprocessed time series data of soil and atmospheric variables and derived Ensemble Empirical Mode Decomposition (EEMD) results for conducting time-frequency analysis of soil-atmosphere interactions.

Study Configuration

• Spatial Scale: Multiple study sites (three case studies).
• Temporal Scale: Time series data, with analysis performed across varying time scales (e.g., periods in months).

Methodology and Data

• Models used: Ensemble Empirical Mode Decomposition (EEMD), univariate wavelet transform, wavelet coherency analysis, Hilbert-Huang transform (HHT), Spearman correlation analysis.
• Data sources: Observational time series of soil and atmospheric variables.

Main Results

• The dataset includes preprocessed time series of soil and atmospheric variables, and derived results from Ensemble Empirical Mode Decomposition (EEMD) analysis.
• It also contains outputs such as univariate wavelet power spectra, wavelet coherency plots, Hilbert-Huang transform (HHT) spectra, power of Intrinsic Mode Functions (IMFs), and Spearman correlation matrices, enabling detailed time-frequency investigations.

Contributions

• This dataset offers a structured and preprocessed collection of soil and atmospheric variables, coupled with the results of advanced time-frequency analyses (EEMD, wavelet transforms), providing a ready-to-use resource for researchers investigating complex soil-atmosphere interactions.

Funding

• No funding information is provided in the text.

Citation

@article{ReveloAristizabal2025TimeFrequency,
  author = {Revelo Aristizabal, Mauricio Felipe and Ruiz Restrepo, Daniel Felipe and Paniagua-Arroyave, Juan Felipe},
  title = {Time-Frequency Analysis of Soil–Atmosphere Interactions},
  journal = {Mendeley Data},
  year = {2025},
  doi = {10.17632/55swnv5szz},
  url = {https://doi.org/10.17632/55swnv5szz}
}