Skills Soft Skills Structuring Scientific Methods for Geoscience

Structuring Scientific Methods for Geoscience

v20260724
ngeo-methods
This guide outlines best practices for Nature Geoscience authors, detailing how to separate essential narrative (Main Text) from comprehensive, reproducible documentation (Online Methods). It emphasizes grounding every quantitative claim, quantifying uncertainty, and ensuring full data and code availability to meet high academic standards and pass rigorous peer review.
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Overview

Nature Geoscience Methods (ngeo-methods)

When to trigger

  • Your main text is carrying instrument, sampling, or model-configuration detail that belongs online
  • You cannot tell what a reader needs in the main text versus what belongs in online Methods
  • Referees of a prior draft asked how a number was derived or how uncertainty was propagated
  • The Article is over length and Methods-type material is a prime relocation target
  • You are unsure how to state data and code availability

The Nature Methods architecture

Nature Geoscience separates the main text from an online Methods section (placed after the main text, divided by topical subheadings; verify current length allowances). The division of labor:

  • Main text carries only what a broad reader needs to believe and interpret the headline advance: the essential approach, the decisive observational or model constraint, and the headline uncertainty.
  • Online Methods carries the full, reproducible account: instruments and platforms, sampling and site selection, proxy calibration, model setup and forcing, statistical procedures, and the complete uncertainty budget.

The online Methods is not an appendix of leftovers — it is peer-reviewed in full and is where a specialist referee decides whether to trust the result.

What every Nature Geoscience Methods must ground

Claim type Must appear in Methods
Field / lab measurement instrument, precision, sampling design, replication
Remote-sensing / satellite product sensor, product version, retrieval, resolution, bias handling
Proxy reconstruction calibration dataset, transfer function, age model, error
Model result model + version, resolution, forcing/boundary conditions, spin-up, ensemble
Any statistical inference test, assumptions, significance definition, multiple-comparison handling
Every headline number how uncertainty was estimated and propagated

Grounding without over-claiming (a Nat. Geosci. distinctive)

Nature Geoscience referees are sharp about the gap between what data show and what is inferred. Pre-empt the two signature objections explicitly:

  • "The model is not anchored to observations." → State the observational validation in the main text and the full comparison in Methods. A model result with no data anchor is a classic desk-reject.
  • "The uncertainty is not quantified / not propagated." → Give every headline number a stated uncertainty and describe the propagation in Methods. Separate measurement error, model spread, and structural uncertainty where they differ in kind.

Data, code, and reproducibility statements

Nature Portfolio requires explicit statements — plan them here, not at submission:

  • Data availability: deposit in a community repository where one exists (e.g. PANGAEA for Earth-system data, NCEI, IRIS/SAGE for seismology, GenBank for sequences), otherwise a general repository (Figshare, Dryad, Zenodo). State accession/DOI. "Available on request" alone is not sufficient for the underlying data.
  • Code availability: custom code that generates the central results must be made available (repository + DOI, or at minimum to editors/referees); state it explicitly.
  • Reporting Summary: the Nature Portfolio Reporting Summary accompanies submission (see ngeo-submission); its content must be consistent with Methods.

Sentence patterns that buy referee trust

  • Validation clause (main text): "Simulated surface fluxes reproduce the observed seasonal cycle to within X% (Methods, Fig. Sn)."
  • Split uncertainty: "We estimate a rate of value ± (measurement) ± (model spread), the latter dominated by [source]."
  • Age-model flag (paleo): "Ages are on the [framework] timescale; the reconstruction is robust to alternative age models (Methods)."
  • Ensemble one-liner: "Results are consistent across all N ensemble members (Methods)."

Checklist

  • Main text keeps only what a broad reader needs to trust and interpret the advance
  • Online Methods is divided by topical subheadings and is fully reproducible
  • Every quantitative claim is grounded in data or a data-validated model
  • Model results are explicitly anchored to observations
  • The headline number carries a stated, propagated uncertainty
  • Data availability names a repository + accession/DOI (community repo preferred)
  • Code availability is stated for custom analysis code
  • Methods are consistent with the Reporting Summary

Anti-patterns

  • Treating online Methods as a dumping ground rather than a reproducible protocol
  • A model-only claim with no observational validation
  • Headline numbers with no uncertainty, or measurement and model spread merged silently
  • "Data available on request" as the only data statement
  • Undefined proxy calibrations or unstated age models in paleoclimate work
  • Methods that contradict the Reporting Summary or the availability statements

Output format

【Main-text trust minimum】approach / decisive constraint / headline uncertainty
【Online Methods subheadings】list
【Model anchored to observations】yes / fix
【Headline uncertainty propagated】yes / fix
【Data availability】repository + DOI?  yes / fix
【Code availability】stated?  yes / fix
【Next】ngeo-figures (lead figure) or ngeo-supplementary (SI partition)

Methods length allowances, repository lists, and reporting-summary requirements evolve — verify current Nature Geoscience / Nature Portfolio policy on the official author pages (Checked: 2026-07-16).

Info
Category Soft Skills
Name ngeo-methods
Version v20260724
Size 6.07KB
Updated At 2026-07-28
Language