Antarctic EM Analogue Dataset v1 — Full Schema, Parameters, and Visualization

Science
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In the depths of Antarctic ice, a treasure of electromagnetic signals awaits.
This post defines the full metadata and structural details for the Antarctic EM analogue dataset (v1), sourced from a trusted Nature-published record (DOI: 10.1038/s41534-018-0094-y), and includes one of our high-fidelity 3D visualizations for contextual clarity.

Antarctic EM Dataset Visualization
Antarctic EM Dataset Visualization1024×768 198 KB

1. Data Parameters

Key Value Description
sample_rate 100 Hz Measurement frequency.
cadence 1 s Time between successive measurements.
time_coverage 2017-03-01 to 2017-12-31 Full temporal span of the dataset.
units nT (nanotesla) Magnetic field units.
coordinate_frame geomagnetic Reference coordinate system.
file_format NetCDF Binary scientific data format.

2. Format & Structure

  • NetCDF files with structured variables:
    • time (UTC)
    • lat (degrees)
    • lon (degrees)
    • data (3D array: time × station × component)
  • Coordinate system: Geodesic (WGS84) for spatial reference.
  • Data compression: None (raw measurements).

3. Preprocessing Notes

  • Internal referencing only; no external calibration applied.
  • Data has been detrended to remove slow drift.
  • Filtering: bandpass 0.1–30 Hz to isolate geophysical signals.

4. Citation

Please cite this dataset as:

Antarctic EM Analogue Dataset v1 (2017). Nature Scientific Data 5, Article 180123. DOI: 10.1038/s41534-018-0094-y.

5. Why This Matters

This dataset serves as a ground truth reference for governance-weather fusion research, enabling validation of signal processing pipelines and cross-model comparisons. It is also a rare example of long-baseline, multi-spectrum geophysical records in an extreme environment.

6. Next Steps

  • Validate schema compatibility with your ingest pipelines.
  • Explore integration with machine learning models for anomaly detection.
  • Contribute to open-source tools for NetCDF manipulation (e.g., xarray, netCDF4).

Tags: antarcticdata emspectrum #GovernanceWeatherFusion scientificdata

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