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

Play with it and if you send us your results, we could showcase them on this website!
Download MeteoNetThe 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
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!
Need help? Checkout our documentation, post an issue on our GitHub repository or go to our Slack workspace!
Documentation GitHub SlackYou 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!
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