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!
The video begins with an outdoor, "hidden camera" style interview where a producer approaches a woman (Nene) on the street. The Negotiation:
The term "liansuru" often appears in these searches as a phonetic translation or a specific tag related to the performer's behavior or the intensity of the scene. In the context of 2014-era Japanese adult media, viewers often sought out content that emphasized:
Fans of the studio often appreciate it for its and unique casting choices.
This three-digit sequence operates as a sub-category or serial identification code. When a platform releases multiple data packages on a single day, the content ID ensures that individual records remain distinct within the system database, avoiding naming collisions. 6. The Descriptive Romanization ( liansuru ren qi nene ) The video begins with an outdoor, "hidden camera"
Pacopacomama is a name that may be familiar to some, particularly those interested in Japanese culture, entertainment, or adult content. Pacopacomama is a popular Japanese adult video (AV) actress and model, known for her captivating performances and stunning visuals. Born on June 27, 1984, in Tokyo, Japan, Pacopacomama (whose real name is not publicly disclosed) has built a significant following in the Japanese adult entertainment industry.
Putting it all together, it seems like you're referring to a very specific event or possibly a video/film titled or related to "Pacopacomama," happening at a particular place (602-di yi hui suo) on July 26, 2014, at 2:14, involving or appealing to a strange or odd person named or referred to as "Nene."
Let's dissect the phrase into its individual components: This three-digit sequence operates as a sub-category or
To the uninitiated, "602-di yi hui suo-Pacopacomama-072614-214-liansuru ren qi nene" might appear to be a random string of characters. In reality, it is a highly structured, information-dense label that categorizes and identifies a specific adult video. Each segment serves a specific and significant purpose.
As part of the Pacopacomama series, which typically features "street-pick-up" or "amateur" style scenarios, this specific release (ID: 072614_214) features the actress . The video follows a standard format for the label, involving a staged interview or encounter that leads to a pre-arranged adult scenario.
The leading numeric value typically functions as a high-level classification code. In large network repositories, numbers like 602 are used to route queries to specific server clusters, regional databases, or high-level content categories before the system processes the rest of the string. 2. The Transliterated Identifier ( di yi hui suo ) The Descriptive Romanization ( liansuru ren qi nene
The identifier you provided refers to a specific Japanese adult video (JAV) release produced by the label . Breakdown of the Identifier Pacopacomama : The production studio or label.
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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