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LepTraits 1.0 A globally comprehensive dataset of butterfly traits
Here, we present the largest, global dataset of Lepidopteran traits, focusing initially on butterflies (ca. 12,500 species records). These traits are derived from field guides, taxonomic treatments, and other literature resources. We present traits on wing size, phenology,voltinism, diapause/overwin...
| Autores principales: | , , , , , , , , , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9259668/ https://www.ncbi.nlm.nih.gov/pubmed/35794183 http://dx.doi.org/10.1038/s41597-022-01473-5 |
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| author | Shirey, Vaughn Larsen, Elise Doherty, Andra Kim, Clifford A. Al-Sulaiman, Faisal T. Hinolan, Jomar D. Itliong, Micael Gabriel A. Naive, Mark Arcebal K. Ku, Minji Belitz, Michael Jeschke, Grace Barve, Vijay Lamas, Gerardo Kawahara, Akito Y. Guralnick, Robert Pierce, Naomi E. Lohman, David J. Ries, Leslie |
| author_facet | Shirey, Vaughn Larsen, Elise Doherty, Andra Kim, Clifford A. Al-Sulaiman, Faisal T. Hinolan, Jomar D. Itliong, Micael Gabriel A. Naive, Mark Arcebal K. Ku, Minji Belitz, Michael Jeschke, Grace Barve, Vijay Lamas, Gerardo Kawahara, Akito Y. Guralnick, Robert Pierce, Naomi E. Lohman, David J. Ries, Leslie |
| author_sort | Shirey, Vaughn |
| collection | PubMed |
| description | Here, we present the largest, global dataset of Lepidopteran traits, focusing initially on butterflies (ca. 12,500 species records). These traits are derived from field guides, taxonomic treatments, and other literature resources. We present traits on wing size, phenology,voltinism, diapause/overwintering stage, hostplant associations, and habitat affinities (canopy, edge, moisture, and disturbance). This dataset will facilitate comparative research on butterfly ecology and evolution and our goal is to inspire future research collaboration and the continued development of this dataset. |
| format | Online Article Text |
| id | pubmed-9259668 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2022 |
| publisher | Nature Publishing Group UK |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-92596682022-07-08 LepTraits 1.0 A globally comprehensive dataset of butterfly traits Shirey, Vaughn Larsen, Elise Doherty, Andra Kim, Clifford A. Al-Sulaiman, Faisal T. Hinolan, Jomar D. Itliong, Micael Gabriel A. Naive, Mark Arcebal K. Ku, Minji Belitz, Michael Jeschke, Grace Barve, Vijay Lamas, Gerardo Kawahara, Akito Y. Guralnick, Robert Pierce, Naomi E. Lohman, David J. Ries, Leslie Sci Data Data Descriptor Here, we present the largest, global dataset of Lepidopteran traits, focusing initially on butterflies (ca. 12,500 species records). These traits are derived from field guides, taxonomic treatments, and other literature resources. We present traits on wing size, phenology,voltinism, diapause/overwintering stage, hostplant associations, and habitat affinities (canopy, edge, moisture, and disturbance). This dataset will facilitate comparative research on butterfly ecology and evolution and our goal is to inspire future research collaboration and the continued development of this dataset. Nature Publishing Group UK 2022-07-06 /pmc/articles/PMC9259668/ /pubmed/35794183 http://dx.doi.org/10.1038/s41597-022-01473-5 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
| spellingShingle | Data Descriptor Shirey, Vaughn Larsen, Elise Doherty, Andra Kim, Clifford A. Al-Sulaiman, Faisal T. Hinolan, Jomar D. Itliong, Micael Gabriel A. Naive, Mark Arcebal K. Ku, Minji Belitz, Michael Jeschke, Grace Barve, Vijay Lamas, Gerardo Kawahara, Akito Y. Guralnick, Robert Pierce, Naomi E. Lohman, David J. Ries, Leslie LepTraits 1.0 A globally comprehensive dataset of butterfly traits |
| title | LepTraits 1.0 A globally comprehensive dataset of butterfly traits |
| title_full | LepTraits 1.0 A globally comprehensive dataset of butterfly traits |
| title_fullStr | LepTraits 1.0 A globally comprehensive dataset of butterfly traits |
| title_full_unstemmed | LepTraits 1.0 A globally comprehensive dataset of butterfly traits |
| title_short | LepTraits 1.0 A globally comprehensive dataset of butterfly traits |
| title_sort | leptraits 1.0 a globally comprehensive dataset of butterfly traits |
| topic | Data Descriptor |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9259668/ https://www.ncbi.nlm.nih.gov/pubmed/35794183 http://dx.doi.org/10.1038/s41597-022-01473-5 |
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