3.3 MB CSV file published on figshare in April 2026 as a replication dataset for a research article. The dataset likely contains factors for ranking the importance of revolutionary destabilization in Asian and African countries using machine learning methods. Author attribution is listed as Noname Noname.
Use Cases
- Training a classifier to rank destabilization factors by importance (inferred from domain, verify after download)
- Building a predictive model for political instability risk in specific countries (inferred from domain, verify after download)
- Conducting comparative analysis of revolutionary factors across Asian and African contexts (inferred from domain, verify after download)
Strengths
- Published on figshare with a CC-BY-4.0 license, allowing for reuse and modification.
- File size is 3.3 MB, indicating a manageable download and processing footprint.
- Last updated date is explicitly recorded as 2026-04-22 18:12:54.
Limitations
- Metadata is minimal; actual content requires verification after download.
- Row count and column definitions are unknown, limiting suitability assessment.
- The dataset's origin and collection methodology are not detailed.
Provenance
- Source
- figshare
- Collection Method
- Replication dataset for an article; specific collection method is unknown.
- Time Range
- null
- Freshness
- Last updated 2026-04-22 18:12:54.
- Geography
- Likely covers Asian and African countries.