eBird Observation Dataset (Cornell Lab of Ornithology-eBird)

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.

In GBIF, searched publisher: Cornell Lab of Ornithology . 

1. POLYGON((-82.37256 29.6268,-82.33921 29.6268,-82.33921 29.65222,-82.37256 29.65222,-82.37256 29.6268))

2. POLYGON((-82.34014 29.64102,-82.32005 29.64102,-82.32005 29.652,-82.34014 29.652,-82.34014 29.64102))

*Cannot upload files >500 mb into the portal, thus two rounds. 

Collection Type: Observations
Management: Data snapshot of local collection database
Last Update: 8 December 2022
Digital Metadata: EML File
Collection Statistics
  • 120,459 specimen records
  • 120,459 (100%) georeferenced
  • 23,279 (19%) identified to species
  • 55 families
  • 159 genera
  • 224 species
  • 230 total taxa (including subsp. and var.)
Extra Statistics