A globally synthesised and flagged bee occurrence dataset and cleaning workflow

Species occurrence data are foundational for research, conservation, and science communication, but the limited availability and accessibility of reliable data represents a major obstacle, particularly for insects, which face mounting pressures. We present BeeBDC, a new R package, and a global bee o...

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Detalles Bibliográficos
Autores principales: Dorey, James B., Fischer, Erica E., Chesshire, Paige R., Nava-Bolaños, Angela, O’Reilly, Robert L., Bossert, Silas, Collins, Shannon M., Lichtenberg, Elinor M., Tucker, Erika M., Smith-Pardo, Allan, Falcon-Brindis, Armando, Guevara, Diego A., Ribeiro, Bruno, de Pedro, Diego, Pickering, John, Hung, Keng-Lou James, Parys, Katherine A., McCabe, Lindsie M., Rogan, Matthew S., Minckley, Robert L., Velazco, Santiago J. E., Griswold, Terry, Zarrillo, Tracy A., Jetz, Walter, Sica, Yanina V., Orr, Michael C., Guzman, Laura Melissa, Ascher, John S., Hughes, Alice C., Cobb, Neil S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Data Descriptor
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10622554/
https://www.ncbi.nlm.nih.gov/pubmed/37919303
http://dx.doi.org/10.1038/s41597-023-02626-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10622554/
https://www.ncbi.nlm.nih.gov/pubmed/37919303
http://dx.doi.org/10.1038/s41597-023-02626-w

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