README.md

metadata

annotations_creators:
  - no-annotation
language:
  - en
language_creators:
  - other
license:
  - mit
multilinguality:
  - monolingual
pretty_name: LIFD Magnetic Fields
size_categories: []
source_datasets:
  - gufm1 model
tags: []
task_categories:
  - feature-extraction
  - image-to-image
  - time-series-forecasting
  - object-detection
  - unconditional-image-generation
task_ids:
  - multivariate-time-series-forecasting

Dataset Card for LFID Magnetic Field Data

You will need the package https://chaosmagpy.readthedocs.io/en/master/

Table of Contents

• Dataset Description
  • Dataset Summary
  • Supported Tasks and Leaderboards
• Dataset Structure
  • Data Fields
• Dataset Creation
  • Source Data
• Additional Information
  • Dataset Curators
  • Licensing Information
  • Citation Information
  • Contributions

Dataset Description

• Homepage: LIFD DataSets homepage
• Repository: LIFD GitHub Repo
• Point of Contact: coming soon

Dataset Summary

A description of the dataset:

The gufm1 model is a global geomagnetic model based on spherical harmonics, covering the period 1590 - 1990, and is described in the publication: Andrew Jackson, Art R. T. Jonkers and Matthew R. Walker (2000), “Four centuries of geomagnetic secular variation from historical records”, Phil. Trans. R. Soc. A.358957–990, http://doi.org/10.1098/rsta.2000.0569

Supported Tasks and Leaderboards

Data Fields

The dataset has dimension (181, 361, 401) whose axes represent co-latitude, longitude, time, and whose values are the radial magnetic field at the core-mantle boundary (radius 3485km) in nT. The colatitude takes values (in degrees): 0,1,2,3,…180; longitude (degrees) takes values -180,-179,….180; and time is yearly 1590, 1591, …1990.

Dataset Creation

The native model representation is converted into a discrete dataset in physical space and time, using the Python package Chaosmagpy

Source Data

Additional Information

Dataset Curators

Licensing Information

MIT Licence

Citation Information

Contributions