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README.md
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annotations_creators:
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language:
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- unconditional-image-generation
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task_ids:
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- multivariate-time-series-forecasting
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You will need the package
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https://chaosmagpy.readthedocs.io/en/master/
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A description of the dataset:
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The gufm1 model is a global geomagnetic model based on spherical harmonics, covering the period 1590 - 1990, and is described in the publication:
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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/
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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.
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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.
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---
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annotations_creators:
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- no-annotation
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language:
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- unconditional-image-generation
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task_ids:
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- multivariate-time-series-forecasting
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---
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# Dataset Card for LFID Magnetic Field Data
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You will need the package
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https://chaosmagpy.readthedocs.io/en/master/
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## Table of Contents
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- [Dataset Description](#dataset-description)
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- [Dataset Summary](#dataset-summary)
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- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
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- [Dataset Structure](#dataset-structure)
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- [Data Fields](#data-fields)
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- [Dataset Creation](#dataset-creation)
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- [Source Data](#source-data)
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- [Additional Information](#additional-information)
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- [Dataset Curators](#dataset-curators)
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- [Licensing Information](#licensing-information)
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- [Citation Information](#citation-information)
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- [Contributions](#contributions)
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## Dataset Description
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- **Homepage:** [LIFD DataSets homepage](https://facebookresearch.github.io/ELI5/explore.html)
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- **Repository:** LIFD GitHub Repo]()
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- **Point of Contact:** [*coming soon*]()
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### Dataset Summary
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A description of the dataset:
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The gufm1 model is a global geomagnetic model based on spherical harmonics, covering the period 1590 - 1990, and is described in the publication:
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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/
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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.
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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.
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### Supported Tasks and Leaderboards
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*coming soon - Kaggle links?*
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### Data Fields
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## Dataset Creation
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### Source Data
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## Additional Information
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### Dataset Curators
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The dataset was initially created by Angela Fan, Ethan Perez, Yacine Jernite, Jason Weston, Michael Auli, and David Grangier, during work done at Facebook AI Research (FAIR).
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### Licensing Information
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The licensing status of the dataset hinges on the legal status of the [Pushshift.io](https://files.pushshift.io/reddit/) data which is unclear.
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### Citation Information
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### Contributions
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