Data and Methods

These pages provide context for reading an analysis. Data sources, processing steps, generative AI use, figure guidance, and reproducibility explain the conditions under which a result was obtained.

DATA & METHODS6 SECTIONS

Understand the Data Source

Satellite observations, ground magnetic records, and GNSS-TEC measure different quantities over different areas. Before comparing them, check the provider, product and version, time reference, units, coordinates, and quality information. Data Sources explains how to read these details and the usage terms.

Follow the Processing Steps

Acquired data go through time and unit alignment, gap checks, and preprocessing before analysis. Processing Flow explains the overall sequence. Filters and Time-Series Processing examines how settings affect the result.

Use Generative AI as a Research Aid

F-Factory Research uses generative AI as an aid in research. People check generated explanations and suggestions against original papers, data, and execution results, and remain responsible for scientific interpretation and judgment.

For researchers who want to learn how to use these tools or introduce them into their work, we offer generative AI training and adoption support.

Check What a Figure Can Show

A figure reflects both the observations and choices such as axis ranges, baselines, smoothing, and aggregation. The Figure Guide explains what to check in time series, maps, and spectra, and what a single figure cannot establish.

Review or Reproduce a Result

Reproducibility explains how input data, settings, output figures, and update history fit together. See Software Environment for execution details. The data and code available for each analysis depend on usage terms and collaboration agreements.

Explore ReproducibilityExplore Software Environment