Replication Data for: Hybrid Supervised-Unsupervised Modeling for Post-Hurricane Private W

Replication data for a study on hybrid modeling of post-hurricane private well contamination risk. The 812.3 MB dataset, authored by Jilei Lin and last updated in April 2026, supports reproduction of all tables and figures from the associated manuscript and its supporting information. It is published under a CC0-1.0 license on the Dataverse platform.

Use Cases

• Reproducing statistical analyses and figures from the referenced manuscript based on the provided replication data.
• Validating hybrid supervised-unsupervised modeling approaches for environmental risk assessment based on the study's methodology.
• Assessing community-informed risk factors for water contamination after hurricanes based on the study's described framework.

Strengths

• Dataset is explicitly designed for full reproducibility of a peer-reviewed manuscript's results.
• Published under a permissive CC0-1.0 license, allowing unrestricted reuse.
• Last updated on 2026-04-21, indicating recent maintenance.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for large-scale modeling.
• Primary file formats are PDF and OCTET-STREAM, which may require specific tools for data extraction and analysis.

Provenance

Source

Dataverse platform, categorized under Earth and Environmental Sciences.

Collection Method

Data collected for reproducing a specific academic study; exact gathering method is not detailed in the provided metadata.

Time Range

Temporal coverage is not specified in the provided metadata.

Freshness

Last updated 2026-04-21 23:07:49; freshness should be verified.

Geography

Spatial coverage is not specified in the provided metadata.