README.md

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

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

The native model representation is converted into a discrete dataset in physical space and time, using the Python package https://chaosmagpy.readthedocs.io/en/master/

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.