https://github.com/spacetelescope/tike_content

High level walk-through, notebooks and features of the STScI Time series Integrated Knowledge Engine.
https://github.com/spacetelescope/tike_content

kepler mast nasa tess

Last synced: 8 months ago
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High level walk-through, notebooks and features of the STScI Time series Integrated Knowledge Engine.

• Host: GitHub
• URL: https://github.com/spacetelescope/tike_content
• Owner: spacetelescope
• License: bsd-3-clause
• Created: 2020-08-05T18:26:54.000Z (almost 6 years ago)
• Default Branch: main
• Last Pushed: 2025-07-03T14:43:17.000Z (11 months ago)
• Last Synced: 2025-07-03T15:46:52.390Z (11 months ago)
• Topics: kepler, mast, nasa, tess
• Language: Jupyter Notebook
• Homepage:
• Size: 17.3 MB
• Stars: 9
• Watchers: 9
• Forks: 14
• Open Issues: 9
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.rst

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README

          
# Timeseries Integrated Knowledge Engine (TIKE) Content

This repository contains curated tutorials that can teach you how to use and access TESS/Kepler data on TIKE, the MAST-hosted science platform. It also demonstrates how to make use of the cloud-hosted data and the AWS computational environment when analyzing these data.

This repo is intended to contain community driven content. If you see topics that are missing, you're encouraged to either open an issue or create a pull request. We welcome your contributions and feedback!

## Contributing Guidlines 

This repository primarily brings together information available in a variety of locations in order to teach about time series data analysis and computingin the cloud in a way that is pertinent to those using the TESS and Kepler data sets. 

1. To add a new topic to this curation, [open an issue](https://github.com/spacetelescope/tike_content/issues) in this repository.

2. To correct information contained in this curation effort, consider a [pull request](https://github.com/spacetelescope/tike_content/pulls) against this repository.

2. To contribute a new Jupyter Notebook or Tutorial, consider adding it to the [MAST Notebooks repository](https://github.com/spacetelescope/mast_notebooks) and follow the [Notebook style guide].(https://github.com/spacetelescope/style-guides/blob/master/guides/jupyter-notebooks.md)