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!
Saint Seiya: The Hades Chapter is a fighting game developed by Dimps and published by Bandai Namco, released for the PlayStation 2 in 2005. The game is based on the popular manga and anime series "Saint Seiya," created by Masami Kurumada. It focuses on the Hades chapter of the series, where the main characters, known as Saints, battle against the gods of the underworld.
The game features a rich storyline that follows the Hades chapter of the Saint Seiya series. Players can choose from a variety of characters, each with their unique abilities and techniques. The gameplay involves one-on-one fights with a focus on strategy and quick reflexes. The game also includes a variety of modes, such as an arcade mode, where players can follow the story of their chosen character, and a versus mode for multiplayer. saint seiya the hades ps2 save data
Saint Seiya: The Hades Chapter on the PS2 offers a deep and engaging gaming experience for fans of the series and the genre. Proper management of save data is key to enjoying the game fully, allowing players to pick up where they left off and access all the game's features. Saint Seiya: The Hades Chapter is a fighting
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
