Replication Scripts and Processed Data for PCA and HYSPLIT Analysis

Mauricio A. Correa-Ochoa published a 19.5 MB RAR archive containing R and Python scripts alongside processed datasets. The materials are intended to replicate the Principal Component Analysis, HYSPLIT trajectory modeling, and statistical figures from an associated study. The archive was last updated on May 27, 2026, and is shared under a CC-BY-4.0 license.

Use Cases

• Reproduce Principal Component Analysis (PCA) based on the processed datasets mentioned in the description
• Re-run HYSPLIT trajectory calculations based on the provided scripts and data
• Recreate statistical figures from the study using the supplied code and processed data

Strengths

• Includes both R and Python scripts for reproducibility across common analysis platforms
• Contains the processed datasets required for replication, reducing preprocessing effort
• Shared under a permissive CC-BY-4.0 license allowing for reuse and modification

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download
• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment

Provenance

Source

Mauricio A. Correa-Ochoa via figshare

Collection Method

Created as part of a study, method likely involves data processing and analysis scripts.

Freshness

Last updated 2026-05-27 17:41:52; freshness should be verified