Avalon Peninsula-St. John's

The Cornell Lab of Ornithology’s data scientists and statisticians have spent thousands of hours developing state-of-the-art statistical models to better understand bird populations using eBird data, the results of which can now be accessed to answer your ornithological questions. The Data Products behind eBird’s 2019 animated abundance maps, range maps, and more are now available to download with our updated terms of use, which are less restrictive for academic use. The Data Products include estimates of species ranges, abundances, and environmental associations for over 800 species, including over 180 outside the western hemisphere, and can be accessed with the ebirdst R package. The ebirdst R package includes documentation of data types and structures, data analysis including examples and tutorials, as well as a change log that highlights the technical aspects that have changed since 2018.

eBird raw data, which includes checklist and observation data that have not been analyzed are still freely available to use. To access the raw eBird data for research you can request free access by visiting the data download page. Keep in mind that eBird raw data bring a number of analytical challenges and it is important to consider how the data are generated when using them for analysis. We recommend best practices for analyzing eBird data in: Best practices for making reliable inferences from citizen science data (Johnston et al. 2019). Additional information, including tutorials, can be found at Github.