|
--- |
|
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-description) |
|
- [Dataset Summary](#dataset-summary) |
|
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) |
|
- [Dataset Structure](#dataset-structure) |
|
- [Data Fields](#data-fields) |
|
- [Dataset Creation](#dataset-creation) |
|
- [Source Data](#source-data) |
|
- [Additional Information](#additional-information) |
|
- [Dataset Curators](#dataset-curators) |
|
- [Licensing Information](#licensing-information) |
|
- [Citation Information](#citation-information) |
|
- [Contributions](#contributions) |
|
|
|
## Dataset Description |
|
|
|
- **Homepage:** [LIFD DataSets homepage](https://cemac.github.io/LIFD_ML_Datasets/) |
|
- **Repository:** [LIFD GitHub Repo](https://github.com/cemac/LIFD_ML_Datasets/) |
|
- **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](https://royalsocietypublishing.org/doi/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](https://chaosmagpy.readthedocs.io/en/master/) |
|
|
|
### Source Data |
|
|
|
## Additional Information |
|
|
|
### Dataset Curators |
|
|
|
|
|
### Licensing Information |
|
MIT Licence |
|
|
|
|
|
### Citation Information |
|
|
|
|
|
### Contributions |
|
|
|
|
