New Results
BirdFlow: Learning Seasonal Bird Movements from Citizen Science Data
View ORCID ProfileMiguel Fuentes, View ORCID ProfileBenjamin M. Van Doren, Daniel Fink, Daniel Sheldon
doi: https://doi.org/10.1101/2022.04.12.488057
Miguel Fuentes
1Manning College of Information and Computer Sciences, University of Massachusetts Amherst, 140 Governors Drive, Amherst, MA 01003, USA
Benjamin M. Van Doren
2Cornell Lab of Ornithology, Cornell University, Ithaca, NY 14850, USA
Daniel Fink
2Cornell Lab of Ornithology, Cornell University, Ithaca, NY 14850, USA
Daniel Sheldon
1Manning College of Information and Computer Sciences, University of Massachusetts Amherst, 140 Governors Drive, Amherst, MA 01003, USA

Article usage
Posted April 13, 2022.
BirdFlow: Learning Seasonal Bird Movements from Citizen Science Data
Miguel Fuentes, Benjamin M. Van Doren, Daniel Fink, Daniel Sheldon
bioRxiv 2022.04.12.488057; doi: https://doi.org/10.1101/2022.04.12.488057
Subject Area
Subject Areas
- Biochemistry (10752)
- Bioengineering (8020)
- Bioinformatics (27205)
- Biophysics (13945)
- Cancer Biology (11088)
- Cell Biology (16005)
- Clinical Trials (138)
- Developmental Biology (8760)
- Ecology (13250)
- Epidemiology (2067)
- Evolutionary Biology (17327)
- Genetics (11667)
- Genomics (15888)
- Immunology (10999)
- Microbiology (26008)
- Molecular Biology (10612)
- Neuroscience (56379)
- Paleontology (417)
- Pathology (1729)
- Pharmacology and Toxicology (2999)
- Physiology (4531)
- Plant Biology (9594)
- Synthetic Biology (2674)
- Systems Biology (6961)
- Zoology (1508)