Individual skill
epsl-data-analysis
Use when reducing and reporting data for an Earth and Planetary Science Letters (EPSL) manuscript — full analytical-uncertainty budgets for isotope and geochronology data, defensible statistics (MSWD, weighted means, Bayesian age models), and inversion/model diagnostics. It guides reduction and reporting norms; it does not fabricate results.
Earth-and-Planetary-Science-Letters-Skills/skills/epsl-data-analysis/SKILL.md
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# Data Analysis (epsl-data-analysis)
EPSL's methods-transparency culture is strictest exactly where the journal is strongest: isotope
geochemistry and geochronology. Reviewers expect every headline number to arrive with its complete
error budget — internal precision, external reproducibility, standard and blank corrections, and
systematic terms like decay-constant uncertainty — and they expect model results to arrive with their
resolution limits. Design choices live in `epsl-study-design`; deposition and supplements in
`epsl-reporting-and-reproducibility`.
## When to trigger
- Reducing isotope, geochronologic, elemental, or geophysical data to reportable results
- Deciding which uncertainty terms to propagate and how to quote them
- Computing weighted means, isochrons, concordia intercepts, or Bayesian age–depth models