jmatuskey / tike_content

High level walk-through, notebooks and features of the STScI Time series Integrated Knowledge Engine.

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Timeseries Integrated Knowledge Engine (TIKE) Content

This repository contains the curated information to learn how to use and access the data associated with the TESS and Kepler missions on the MAST-hosted science platform. This repo contains documents and code which teaches how to best use NASA's Kepler and TESS time series missions. 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, users are encouraged to either open an issue or create a pull request. Several topics are left undone in the hopes that others will contribute content to this repo as appropriate.

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 in this repository.
  2. To correct information contained in this curation effort, consider a pull request against this repository.
  3. To contribute a new Jupyter Notebook or Tutorial, consider adding it to the STScI notebooks repository and follow its notebook style guide

About

High level walk-through, notebooks and features of the STScI Time series Integrated Knowledge Engine.

License:BSD 3-Clause "New" or "Revised" License


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Language:Jupyter Notebook 99.5%Language:Python 0.5%