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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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  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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+
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+ # Dataset Card for LFID Magnetic Field Data
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+
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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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+
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+ ## Dataset Description
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+
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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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+
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+ ### Dataset Summary
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+
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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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+
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+ ### Supported Tasks and Leaderboards
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+
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+ *coming soon - Kaggle links?*
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+
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+ ### Data Fields
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+
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+ ## Dataset Creation
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+
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+ ### Source Data
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+
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+ ## Additional Information
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+
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+ ### Dataset Curators
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+
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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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+
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+ ### Licensing Information
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+
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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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+
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+ ### Citation Information
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+
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+
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+ ### Contributions
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+