EOD - eBird Observation Dataset


Description :

 eBird is a collective enterprise that takes a novel approach to citizen science by developing cooperative partnerships among experts in a wide range of fields: population ecologists, conservation biologists, quantitative ecologists, statisticians, computer scientists, GIS and informatics specialists, application developers, and data administrators. Managed by the Cornell Lab of Ornithology eBird’s goal is to increase data quantity through participant recruitment and engagement globally, but also to quantify and control for data quality issues such as observer variability, imperfect detection of species, and both spatial and temporal bias in data collection. eBird data are openly available and used by a broad spectrum of students, teachers, scientists, NGOs, government agencies, land managers, and policy makers. The result is that eBird has become a major source of biodiversity data, increasing our knowledge of the dynamics of species distributions, and having a direct impact on the conservation of birds and their habitats.

Link GBIF portal : https://www.gbif.org/dataset/4fa7b334-ce0d-4e88-aaae-2e0c138d049e
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

 Observation, Occurrence 

Field

continental
marine

Protocole

 No information 

Geographic extent

Contacts

Type Organization Name
Fournisseur Cornell Lab of Ornithology LEVATICH Tim
Producteur Cornell Lab of Ornithology GERBRACHT Jeff

Publication dates :

First diffusion : 22/07/2019 
Last update : 25/11/2023  

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 :

 2377697 données 
 1450 espèces 
 1456 taxons 

Répartition des données par groupes taxonomiques :

Groupes vernaculaires de premier ordre
Groupes vernaculaires de second ordre

Répartition temporelle: