Pollen

Updated on August 30, 2021 — License Not Specified

PolnPy

Team #GameOfCode 2018

2 datasets

1 reuses

Informations

License
License Not Specified
ID
5aad2183d6686c58d778605b

Temporality

Temporal coverage
1996/01/01 to 2018/03/17
Frequency
Unknown
Creation date
March 17, 2018
Latest resource update
March 17, 2018

Geographic dimensions

Territorial coverage granularity
Other

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Description

  • Daily pollen concentration data for 33 pollen types since Jan 1, 1992 in Luxembourg
    (scraped from www.pollen.lu)
  • Same day prediction based upon machine learning (LSTM model)(combined with weather data)

Files 3

Main file 2

API 1

Community resources 0

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Reuses 1

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Discussions 2

Discussion between the organization and the community about this dataset.

  • Pollen API not working

    Rod Jordan
    April 2, 2020

    Hi, I would like to read the API to get daily pollen data, do you know when it will be back up and running? Many thanks. Rod

  • Gudden Metteg

    Serge Wagener
    April 20, 2018

    Ech géing gären eng Interface zweschen der Pollen API an mengem SmartHome System schreiwen. E puer an eiser Famille hun verschidden Pollen Allergien, an virun allem den Trend vun den läschten 5 Dech an d'Prévisioun wier eng grouss Hellef. Leider gesin ech Fehler bei der Connexioun zum API Endpoint an och, dass den läschten Update schon > 1 Mount hier ass. Dofier meng Froh: War daat heiten en one shot fir den GameOfCode, oder ass daat en DataSet deen virgesin ass hei op der public.lu API ze bleiwen an och regelméisseg alimentéiert ze gin ? Am aaneren Fall muss ech mer är GitHub Source ukucken an dorauser selwer eppes bastelen. Mee eppes. offizielles an professionelles wier mer léiwer ... Merci, Serge WAGENER

    matthieu vallance
    April 20, 2018

    It was just a requirement of the game of code, but as you're interested we will investigate on this topic to have some automatism for data update.

    Serge Wagener
    April 20, 2018

    That would be great. Meanwhile i looked into your sources. Another possibility for reuse would be if you could provide docker containers for the scraping and the ML part. I could imaging having a backend container (which is already there and was up in 2 minutes using docker-compose) and a "feeder" container. That feeder container would do one first scrape if DB is empty (or import your CSV to not hammer the pollen.lu website), then scraps the latest updates on a daily base, feeds it into the db and reruns the learning cycle to update the prevision. That way i could simply launch the couple of docker containers and send the results to my SH system using MQTT or whatever. Of course i would prefer seeing this API being updated on a daily base ;-)