Questagame weekly feed


Description :

 QuestaGame is a free-to-play, mobile adventure game that gets players outdoors to discover, learn about and help protect biodiversity. Submit sightings of your local flora and fauna and receive fast, accurate information about what you've found. Join and create quests, earn gold, buy supplies, complete against other players, join clans, identify sightings, gain levels, build your collection, move up the leaderboard, all while helping to document and protect your local biodiversity. You can play it anywhere – be it in your backyard, a local park, a remote hiking trail. The game accepts both online and offline sightings, and includes data on over a million species. Your sightings are geo-tagged with location, date and time, so you’re not only mapping your conquests, but if you allow the game to share the data, you're also helping researchers record and protect your local biodiversity. The game is fun, addictive and easy to play. If you're a school teacher, you may want to try the school-based version of the game for your class: Ranger Vision (http://ranger.vision)

Link GBIF portal : https://www.gbif.org/dataset/e3ce628e-9683-4af7-b7a9-47eef785d3bb
Le jeu de données diffusé est issu d'un traitement automatique appliqué sur les données issues du GBIF. Les règles de l'INPN et plus globalement du SINP (en termes de périmètre et de contrôle sur les données) peuvent impliquer que l'ensemble des données du jeu source ne soit pas restitué dans le SINP.
 The disseminated dataset stems from an automatic treatment applied to data coming from GBIF. INPN rules, and more generally SINP rules (in terms of perimeter and data quality controls) may imply that the whole of the source dataset might not be provided on the SINP platform. 

Key words

 No information 

Field

continental
marine

Protocole

 No information 

Geographic extent

Contacts

Type Organization Name
Fournisseur Questagame
Producteur ROBINSON Andrew

Publication dates :

First diffusion : 26/09/2019 
Last update : 30/11/2023  

Species list found :

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Scientific name CD_NOM Kingdom Class Order Family Date of first observation Date of last observation Sheet

Chiffres clés :

 296 données 
 81 espèces 
 81 taxons 

Répartition des données par groupes taxonomiques :

Groupes vernaculaires de premier ordre
Groupes vernaculaires de second ordre

Répartition temporelle: