DivShift North American West Coast

DivShift Paper | Extended Version | Code

https://doi.org/10.1609/aaai.v39i27.35060

Highlighting biases through partitions of volunteer-collected biodiversity data and ecologically relevant context for plant photographs.

Acquisition

Sourced from iNaturalist open data on AWS.

Citation

@article{Sierra_Gillespie_Soltani_Exposito-Alonso_Kattenborn_2025,
  author = {Sierra, Elena and Gillespie, Lauren E. and Soltani, Salim and Exposito-Alonso, Moises and Kattenborn, Teja},
  doi = {10.1609/aaai.v39i27.35060},
  journal = {Proceedings of the AAAI Conference on Artificial Intelligence},
  month = {Apr.},
  number = {27},
  pages = {28386-28396},
  title = {DivShift: Exploring Domain-Specific Distribution Shifts in Large-Scale, Volunteer-Collected Biodiversity Datasets},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/35060},
  volume = {39},
  year = {2025},
  bdsk-url-1 = {https://ojs.aaai.org/index.php/AAAI/article/view/35060},
  bdsk-url-2 = {https://doi.org/10.1609/aaai.v39i27.35060}
}

References

• iNaturalist: www.inaturalist.org
• WorldClim: https://worldclim.org/about.html
• Harmonized World Soil Database: https://openknowledge.fao.org/server/api/core/bitstreams/149f1562-bf6a-439f-9d3a-eb93940f39cf/content
• Human Footprint Index: https://figshare.com/articles/figure/An_annual_global_terrestrial_Human_Footprint_dataset_from_2000_to_2018/16571064