Datasets:
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
- 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