A 2026 validation dataset for the Adiaha Subsurface Decay Model (ASDM) created by Monday Sunday Adiaha. The dataset comprises 1000 cores, likely used for calibrating and testing Bayesian models in subsurface radiological intelligence. It was published on the Harvard Dataverse platform on June 23, 2026.
Use Cases
- Calibrating the Adiaha Subsurface Decay Model (ASDM) based on the 1000-core validation set.
- Testing Bayesian inference methods for subsurface radiological intelligence.
- Benchmarking predictive models of subsurface decay processes.
Strengths
- Dataset is explicitly designed for validation, with a defined size of 1000 cores.
- Associated with a named model (Adiaha Subsurface Decay Model) providing clear context.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
Provenance
- Source
- Harvard Dataverse
- Freshness
- Last updated 2026-06-23 17:33:31; freshness should be verified.