Multi-domain diffusion thermal history modeling data reconstructs the cooling history of bedrock in Vermont and New Hampshire. Andrew Spatz from Harvard Dataverse created this dataset, which was last updated in April 2026.
Use Cases
- Calibrate diffusion parameters using modeled thermal histories for specific mineral domains.
- Validate regional tectonic models by comparing predicted cooling ages from thermal history paths.
- Analyze the sensitivity of model outputs to different geological constraints like closure temperatures.
- Correlate exhumation rates across New England using derived time-temperature paths.
Strengths
- Focuses on the geologically complex multi-domain diffusion modeling approach.
- Covers two distinct states (Vermont and New Hampshire) for regional analysis.
- Authored by a researcher affiliated with Harvard Dataverse, suggesting academic rigor.
Limitations
- The sample size, row count, and specific data volume are unknown.
- No column details or sample data are available to assess structure and completeness.
- Geographic coverage is limited to two states in the northeastern United States.
Provenance
- Source
- Harvard Dataverse, authored by Andrew Spatz.
- Collection Method
- Derived from multi-domain diffusion thermal history modeling.
- Freshness
- Last updated in April 2026, indicating recent maintenance.
- Geography
- Vermont and New Hampshire, USA.