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!
Given the engagement numbers—millions of views, thousands of fan edits, and a growing community of "Terbalik" athletes trying to replicate her stunts—it is clear that Sasha has tapped into something primal.
The phrase serves as a fascinating case study in how modern internet culture operates. It demonstrates that the boundaries between gaming communities, regional lifestyle media, and high-emotion reaction content have completely dissolved. As digital entertainment continues to evolve, regional hubs like INDO18 will likely continue to leverage these complex, multi-layered trends to keep audiences engaged, entertained, and coming back for more. Share public link
Lifestyle analysts following the INDO18 circuit note that Sasha has pioneered a genre known as "Horror-Core Stunt." In her viral video "Dream," Sasha is strapped into a custom rig inside a rotating barrel (The "Terbalik" mechanism). As the barrel spins at 60 RPM, she is tasked with solving a puzzle. The result? Six minutes of menjerit —raw, unfiltered, primal screaming. Sasha Ngewe Hardcore WOT Terbalik Menjerit Dream - INDO18
These are three distinct Indonesian words that loosely connect to create a vivid scene:
The intersection of lifestyle and entertainment is complex, especially in the context of adult content. As the industry continues to evolve, it's crucial to prioritize open discussions about consent, boundaries, and responsible content creation. As digital entertainment continues to evolve, regional hubs
The use of her name in this search phrase indicates a preference for rather than local productions. While searching for explicit content by name may be common online, it is crucial for users to understand the ethical implications of such searches and to respect the privacy and choices of individuals who have moved on from the industry.
Whether "Sasha Hardcore" is a specific personality or just a placeholder for the next viral sensation, the phenomenon represents the current state of : fast-paced, high-intensity, and slightly surreal. The result
: The broader content category used to index these viral trends under mainstream search categories, blending adult pop culture with digital lifestyle commentary. The Anatomy of a Digital Lifestyle Trend
The production quality of the content appears to be well-executed, with clear visuals and audio. The presentation is engaging, and the creators have done a good job in capturing the audience's attention.
The combination of these elements suggests a highly niche but engaging form of content. For those interested, it might offer a thrilling escape or a sense of community. The hardcore nature indicates a deep dive into the subject matter, possibly requiring or fostering a strong understanding or participation from its audience.
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