Back to the FU -Final- By Golden Bug

To The Fu -final- By Golden Bug [portable] — Back

MeteoNet is a meteorological dataset developed and made available by METEO FRANCE, the French national meteorological service.
We aim to provide an easy and ready to use dataset for Data Scientists who want to try their hand on weather data.


Get Started Now! Download Support Kaggle page

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Back to the FU -Final- By Golden Bug

Teaser

Take a look at our amazing teaser!

The dataset

The dataset contains full time series of satellite and radar images, weather models and ground observations.
To keep the dataset at a reasonable size, the data covers two geographic areas of 550km x 550km on the Mediterranean and Brittany coasts, and spans over 3 years, 2016 to 2018.

Back to the FU -Final- By Golden Bug


We have prepared this free dataset to let the data science community play with it.
Explore it today!

To The Fu -final- By Golden Bug [portable] — Back

Cinematic Atmosphere: There is a narrative quality to the arrangement, moving from claustrophobic industrial sounds to wide-open, cosmic synth pads. The "Final" Concept: A Conclusion or a New Beginning?

Vocal Versatility: The use of spoken word and ethereal vocals adds a human element to the mechanical precision of the tracks, often leaning into a noir, "spoken-cool" delivery.

Do you need a or labels (like Multi Culti or Correspondant)? Back to the FU -Final- By Golden Bug

Are you writing a and need help with descriptive adjectives?

Since its release, Back to the FU -Final- has become a staple for DJs who specialize in the "Dark Disco" and "Indie Dance" niches. Its versatility is its greatest strength; it is sophisticated enough for home listening with high-end headphones, yet heavy enough to command a strobe-lit dance floor at 3:00 AM. Cinematic Atmosphere: There is a narrative quality to

The inclusion of "-Final-" in the title has sparked much discussion among fans and critics. In the context of Golden Bug’s discography, it appears to signal the closing of a chapter—the definitive version of a thematic exploration into retro-futurism. By revisiting the "Back to the FU" motifs, Dos Santos essentially "de-bugs" his previous concepts, stripping away the excess to leave behind a lean, muscular, and highly polished soundscape. It feels less like an ending and more like the ultimate refinement of his signature style. Key Highlights and Collaborative Spirit

What sets this release apart is the collaborative depth. Golden Bug has always been a curator of talent, and Back to the FU -Final- features contributions that elevate the project from a standard electronic LP to a cross-genre experience. Do you need a or labels (like Multi Culti or Correspondant)

Glitchy Textures: Amidst the groove, Dos Santos sprinkles robotic chirps and digital artifacts that give the music a futuristic, slightly uneasy edge.

New to MeteoNet? Check out our Toolbox!

Have a look at our toolbox which includes data samples from MeteoNet written in python language and our tutorials/documentation which help you explore and cross-check all data types.

Back to the FU -Final- By Golden Bug
Get MeteoNet Toolbox

Download Area

This dataset is yours to explore!

Play with it and if you send us your results, we could showcase them on this website!

Download MeteoNet

Kaggle

The data are also available on Kaggle with notebooks to help you explore and cross-check all data types!
You can contribute to challenges and/or propose yours!
Time series prediction
Rainfall nowcasting
Cloud cover nowcasting
Observation data correction
...etc

Back to the FU -Final- By Golden Bug
Kaggle page Tutorial

The community's work

Featured projects

You did something interesting with our dataset? Want your project to be showcased here?
Write a blog, contact us on GitHub, and we will come back to you!

Support

Need help? Checkout our documentation, post an issue on our GitHub repository or go to our Slack workspace!

Documentation GitHub Slack

Other data

Other data from METEO FRANCE

You can find other data on METEO FRANCE public data website. It features real-time, past and forecast data: in situ observations, radar observations, numerical weather models, climate data, climate forecasts and much more!

Licence

The Dataset is licenced by METEO FRANCE under Etalab Open Licence 2.0.

Reuse of the dataset is free, subject to an acknowledgement of authorship. For example:
"METEO FRANCE - Original data downloaded from https://meteonet.umr-cnrm.fr/, updated on 30 January 2020".

When using this dataset in a publication, please cite:
Gwennaëlle Larvor, Léa Berthomier, Vincent Chabot, Brice Le Pape, Bruno Pradel, Lior Perez. MeteoNet, an open reference weather dataset by METEO FRANCE, 2020