Turning NASA Wake-up Calls into data

by @beet_keeper

For a while back then I was into space flight again. Scientists, science communicators, and engineers were all excited for a new era of rocket launches and the potential unification of the human race as we look towards the future.

During that time I discovered Colin Fries’ work in the NASA History Division to document all NASA “Wake-up calls”. A wake-up call is simply a piece of music used to wake astronauts on missions, a different piece of music, daily, for the duration of the flight.

Take, for example, the last Space Shuttle mission (Space Transportation System) STS-135; it was in flight for 13 days, and the wake-up call on day one was Coldplay’s Viva la Vida, while on day 13 it was Kate Smith singing God Bless America.

As a huge music buff who has the radio or music television on 18 hours a day, I really wanted to delve into this further. While Colin’s work is great, it’s just a PDF file (@wtfpdf). A PDF is not an ideal file format for querying data and gleaning new insights. So, while I wanted to explore it, I first decided to turn it into a true dataset. The result was a set of resources, a website, a JSON, a CSV, and an SQLite database which are each more functional and more maintainable over time.

Lets take a look at the results and https://nasawakeupcalls.github.io below!

Continue reading “Turning NASA Wake-up Calls into data”


#ApacheTika #Code #Coding #DataWrangling #Datasette #DatasetteLite #DH #DigitalHumanities #GLAM #harkive #NASA #NASAWakeUpCall #NASAWakeUpCalls #OpenData #PersonalProjects #Science #Space #SpaceHistory #Twitter #WakeUpCall

@severo @simon

It is really easy to have Firefox or Chrome create the URL for you.

To configure Chrome's custom search, go to `Settings > Search engine > Manage search engines`. Add a new “site search” engine with a name (e.g., Datasette Lite Parquet) keyword (e.g., prq), and URL (https://lite.datasette.io/?parquet=%s).

Then in the url bar type the keyword followed by a space and paste the Parquet's URL to open it in #DatasetteLite.

You can also replace Parquet with JSON, CSV, or SQLite files.

Datasette

Tempted to pull apart the #pyodide packaging for @simon‘s #datasettelite to see if I can whip together an app to download files from an API for an old mate who doesn’t command line much any more. #WASM #python