Raw Data and Scripts for Stochastic Localization of Basaltic Fissure Eruptions

Stephen Pansino's replication dataset includes raw photos and temperature measurements, along with MATLAB scripts used to process the data and generate output figures for the associated publication. The dataset is hosted by Harvard Dataverse and was last updated on June 5, 2026. It supports the study of stochastic processes in basaltic fissure eruptions driven by magma solidification.

Use Cases

• Replicate the study's analysis and figures based on the provided raw data and MATLAB scripts.
• Analyze geothermal temperature measurements to understand heat flow during fissure eruptions.
• Process raw photographic data to visualize eruption localization patterns.
• Validate models of stochastic eruption processes based on the published methodology.

Strengths

• Includes raw data (photos and temperature measurements) directly supporting the published research.
• Provides the exact MATLAB scripts used for data processing, enabling full replication.
• Contains the output figures used in the publication for direct comparison.

Limitations

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

Provenance

Source

Harvard Dataverse, authored by Stephen Pansino.

Collection Method

Raw data collection (photos and temperature measurements) for a specific volcanology study.

Freshness

Last updated 2026-06-05 11:24:09; freshness should be verified.