An image dataset of cleared, x-rayed, and fossil leaves vetted to plant family for human and machine learning
- Autores
- Wilf, Peter; Wing, Scott L.; Meyer, Herbert W.; Rose, Jacob A.; Saha, Rohit; Serre, Thomas; Cúneo, Néstor Rubén; Donovan, Michael P.; Erwin, Diane M.; Gandolfo, María A.; González Akre, Erika; Herrera, Fabiany; Hu, Shusheng; Iglesias, Ari; Johnson, Kirk R.; Karim, Talia S.; Zou, Xiaoyu
- Año de publicación
- 2021
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Leaves are the most abundant and visible plant organ, both in the modern world and the fossil record. Identifying foliage to the correct plant family based on leaf architecture is a fundamental botanical skill that is also critical for isolated fossil leaves, which often, especially in the Cenozoic, represent extinct genera and species from extant families. Resources focused on leaf identification are remarkably scarce; however, the situation has improved due to the recent proliferation of digitized herbarium material, live-plant identification applications, and online collections of cleared and fossil leaf images. Nevertheless, the need remains for a specialized image dataset for comparative leaf architecture. We address this gap by assembling an open-access database of 30,252 images of vouchered leaf specimens vetted to family level, primarily of angiosperms, including 26,176 images of cleared and x-rayed leaves representing 354 families and 4,076 of fossil leaves from 48 families. The images maintain original resolution, have user-friendly filenames, and are vetted using APG and modern paleobotanical standards. The cleared and x-rayed leaves include the Jack A. Wolfe and Leo J. Hickey contributions to the National Cleared Leaf Collection and a collection of high-resolution scanned x-ray negatives, housed in the Division of Paleobotany, Department of Paleobiology, Smithsonian National Museum of Natural History, Washington D.C.; and the Daniel I. Axelrod Cleared Leaf Collection, housed at the University of California Museum of Paleontology, Berkeley. The fossil images include a sampling of Late Cretaceous to Eocene paleobotanical sites from the Western Hemisphere held at numerous institutions, especially from Florissant Fossil Beds National Monument (late Eocene, Colorado), as well as several other localities from the Late Cretaceous to Eocene of the Western USA and the early Paleogene of Colombia and southern Argentina. The dataset facilitates new research and education opportunities in paleobotany, comparative leaf architecture, systematics, and machine learning.
Fil: Wilf, Peter. State University of Pennsylvania; Estados Unidos
Fil: Wing, Scott L.. National Museum of Natural History; Estados Unidos
Fil: Meyer, Herbert W.. State University of Pennsylvania; Estados Unidos
Fil: Rose, Jacob A.. State University of Pennsylvania; Estados Unidos
Fil: Saha, Rohit. State University of Pennsylvania; Estados Unidos
Fil: Serre, Thomas. State University of Pennsylvania; Estados Unidos
Fil: Cúneo, Néstor Rubén. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Museo Paleontológico Egidio Feruglio; Argentina
Fil: Donovan, Michael P.. State University of Pennsylvania; Estados Unidos
Fil: Erwin, Diane M.. State University of Pennsylvania; Estados Unidos
Fil: Gandolfo, María A.. Cornell University; Estados Unidos
Fil: González Akre, Erika. State University of Pennsylvania; Estados Unidos
Fil: Herrera, Fabiany. National Museum of Natural History; Estados Unidos
Fil: Hu, Shusheng. State University of Pennsylvania; Estados Unidos
Fil: Iglesias, Ari. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones en Biodiversidad y Medioambiente. Universidad Nacional del Comahue. Centro Regional Universidad Bariloche. Instituto de Investigaciones en Biodiversidad y Medioambiente; Argentina
Fil: Johnson, Kirk R.. Smithsonian Tropical Research Institute; Panamá
Fil: Karim, Talia S.. University of Colorado; Estados Unidos
Fil: Zou, Xiaoyu. State University of Pennsylvania; Estados Unidos - Materia
-
ANGIOSPERMS
CLEARED LEAVES
DATA SCIENCE
FOSSIL LEAVES
LEAF ARCHITECTURE
PALEOBOTANY - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by/2.5/ar/
- Repositorio
.jpg)
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/184093
Ver los metadatos del registro completo
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An image dataset of cleared, x-rayed, and fossil leaves vetted to plant family for human and machine learningWilf, PeterWing, Scott L.Meyer, Herbert W.Rose, Jacob A.Saha, RohitSerre, ThomasCúneo, Néstor RubénDonovan, Michael P.Erwin, Diane M.Gandolfo, María A.González Akre, ErikaHerrera, FabianyHu, ShushengIglesias, AriJohnson, Kirk R.Karim, Talia S.Zou, XiaoyuANGIOSPERMSCLEARED LEAVESDATA SCIENCEFOSSIL LEAVESLEAF ARCHITECTUREPALEOBOTANYhttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1Leaves are the most abundant and visible plant organ, both in the modern world and the fossil record. Identifying foliage to the correct plant family based on leaf architecture is a fundamental botanical skill that is also critical for isolated fossil leaves, which often, especially in the Cenozoic, represent extinct genera and species from extant families. Resources focused on leaf identification are remarkably scarce; however, the situation has improved due to the recent proliferation of digitized herbarium material, live-plant identification applications, and online collections of cleared and fossil leaf images. Nevertheless, the need remains for a specialized image dataset for comparative leaf architecture. We address this gap by assembling an open-access database of 30,252 images of vouchered leaf specimens vetted to family level, primarily of angiosperms, including 26,176 images of cleared and x-rayed leaves representing 354 families and 4,076 of fossil leaves from 48 families. The images maintain original resolution, have user-friendly filenames, and are vetted using APG and modern paleobotanical standards. The cleared and x-rayed leaves include the Jack A. Wolfe and Leo J. Hickey contributions to the National Cleared Leaf Collection and a collection of high-resolution scanned x-ray negatives, housed in the Division of Paleobotany, Department of Paleobiology, Smithsonian National Museum of Natural History, Washington D.C.; and the Daniel I. Axelrod Cleared Leaf Collection, housed at the University of California Museum of Paleontology, Berkeley. The fossil images include a sampling of Late Cretaceous to Eocene paleobotanical sites from the Western Hemisphere held at numerous institutions, especially from Florissant Fossil Beds National Monument (late Eocene, Colorado), as well as several other localities from the Late Cretaceous to Eocene of the Western USA and the early Paleogene of Colombia and southern Argentina. The dataset facilitates new research and education opportunities in paleobotany, comparative leaf architecture, systematics, and machine learning.Fil: Wilf, Peter. State University of Pennsylvania; Estados UnidosFil: Wing, Scott L.. National Museum of Natural History; Estados UnidosFil: Meyer, Herbert W.. State University of Pennsylvania; Estados UnidosFil: Rose, Jacob A.. State University of Pennsylvania; Estados UnidosFil: Saha, Rohit. State University of Pennsylvania; Estados UnidosFil: Serre, Thomas. State University of Pennsylvania; Estados UnidosFil: Cúneo, Néstor Rubén. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Museo Paleontológico Egidio Feruglio; ArgentinaFil: Donovan, Michael P.. State University of Pennsylvania; Estados UnidosFil: Erwin, Diane M.. State University of Pennsylvania; Estados UnidosFil: Gandolfo, María A.. Cornell University; Estados UnidosFil: González Akre, Erika. State University of Pennsylvania; Estados UnidosFil: Herrera, Fabiany. National Museum of Natural History; Estados UnidosFil: Hu, Shusheng. State University of Pennsylvania; Estados UnidosFil: Iglesias, Ari. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones en Biodiversidad y Medioambiente. Universidad Nacional del Comahue. Centro Regional Universidad Bariloche. Instituto de Investigaciones en Biodiversidad y Medioambiente; ArgentinaFil: Johnson, Kirk R.. Smithsonian Tropical Research Institute; PanamáFil: Karim, Talia S.. University of Colorado; Estados UnidosFil: Zou, Xiaoyu. State University of Pennsylvania; Estados UnidosPensoft Publishers2021-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/184093Wilf, Peter; Wing, Scott L.; Meyer, Herbert W.; Rose, Jacob A.; Saha, Rohit; et al.; An image dataset of cleared, x-rayed, and fossil leaves vetted to plant family for human and machine learning; Pensoft Publishers; PhytoKeys; 187; 12-2021; 93-1281314-20031314-2011CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://phytokeys.pensoft.net/article/72350/info:eu-repo/semantics/altIdentifier/doi/10.3897/phytokeys.187.72350info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:32:54Zoai:ri.conicet.gov.ar:11336/184093instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:32:54.655CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
| dc.title.none.fl_str_mv |
An image dataset of cleared, x-rayed, and fossil leaves vetted to plant family for human and machine learning |
| title |
An image dataset of cleared, x-rayed, and fossil leaves vetted to plant family for human and machine learning |
| spellingShingle |
An image dataset of cleared, x-rayed, and fossil leaves vetted to plant family for human and machine learning Wilf, Peter ANGIOSPERMS CLEARED LEAVES DATA SCIENCE FOSSIL LEAVES LEAF ARCHITECTURE PALEOBOTANY |
| title_short |
An image dataset of cleared, x-rayed, and fossil leaves vetted to plant family for human and machine learning |
| title_full |
An image dataset of cleared, x-rayed, and fossil leaves vetted to plant family for human and machine learning |
| title_fullStr |
An image dataset of cleared, x-rayed, and fossil leaves vetted to plant family for human and machine learning |
| title_full_unstemmed |
An image dataset of cleared, x-rayed, and fossil leaves vetted to plant family for human and machine learning |
| title_sort |
An image dataset of cleared, x-rayed, and fossil leaves vetted to plant family for human and machine learning |
| dc.creator.none.fl_str_mv |
Wilf, Peter Wing, Scott L. Meyer, Herbert W. Rose, Jacob A. Saha, Rohit Serre, Thomas Cúneo, Néstor Rubén Donovan, Michael P. Erwin, Diane M. Gandolfo, María A. González Akre, Erika Herrera, Fabiany Hu, Shusheng Iglesias, Ari Johnson, Kirk R. Karim, Talia S. Zou, Xiaoyu |
| author |
Wilf, Peter |
| author_facet |
Wilf, Peter Wing, Scott L. Meyer, Herbert W. Rose, Jacob A. Saha, Rohit Serre, Thomas Cúneo, Néstor Rubén Donovan, Michael P. Erwin, Diane M. Gandolfo, María A. González Akre, Erika Herrera, Fabiany Hu, Shusheng Iglesias, Ari Johnson, Kirk R. Karim, Talia S. Zou, Xiaoyu |
| author_role |
author |
| author2 |
Wing, Scott L. Meyer, Herbert W. Rose, Jacob A. Saha, Rohit Serre, Thomas Cúneo, Néstor Rubén Donovan, Michael P. Erwin, Diane M. Gandolfo, María A. González Akre, Erika Herrera, Fabiany Hu, Shusheng Iglesias, Ari Johnson, Kirk R. Karim, Talia S. Zou, Xiaoyu |
| author2_role |
author author author author author author author author author author author author author author author author |
| dc.subject.none.fl_str_mv |
ANGIOSPERMS CLEARED LEAVES DATA SCIENCE FOSSIL LEAVES LEAF ARCHITECTURE PALEOBOTANY |
| topic |
ANGIOSPERMS CLEARED LEAVES DATA SCIENCE FOSSIL LEAVES LEAF ARCHITECTURE PALEOBOTANY |
| purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.5 https://purl.org/becyt/ford/1 |
| dc.description.none.fl_txt_mv |
Leaves are the most abundant and visible plant organ, both in the modern world and the fossil record. Identifying foliage to the correct plant family based on leaf architecture is a fundamental botanical skill that is also critical for isolated fossil leaves, which often, especially in the Cenozoic, represent extinct genera and species from extant families. Resources focused on leaf identification are remarkably scarce; however, the situation has improved due to the recent proliferation of digitized herbarium material, live-plant identification applications, and online collections of cleared and fossil leaf images. Nevertheless, the need remains for a specialized image dataset for comparative leaf architecture. We address this gap by assembling an open-access database of 30,252 images of vouchered leaf specimens vetted to family level, primarily of angiosperms, including 26,176 images of cleared and x-rayed leaves representing 354 families and 4,076 of fossil leaves from 48 families. The images maintain original resolution, have user-friendly filenames, and are vetted using APG and modern paleobotanical standards. The cleared and x-rayed leaves include the Jack A. Wolfe and Leo J. Hickey contributions to the National Cleared Leaf Collection and a collection of high-resolution scanned x-ray negatives, housed in the Division of Paleobotany, Department of Paleobiology, Smithsonian National Museum of Natural History, Washington D.C.; and the Daniel I. Axelrod Cleared Leaf Collection, housed at the University of California Museum of Paleontology, Berkeley. The fossil images include a sampling of Late Cretaceous to Eocene paleobotanical sites from the Western Hemisphere held at numerous institutions, especially from Florissant Fossil Beds National Monument (late Eocene, Colorado), as well as several other localities from the Late Cretaceous to Eocene of the Western USA and the early Paleogene of Colombia and southern Argentina. The dataset facilitates new research and education opportunities in paleobotany, comparative leaf architecture, systematics, and machine learning. Fil: Wilf, Peter. State University of Pennsylvania; Estados Unidos Fil: Wing, Scott L.. National Museum of Natural History; Estados Unidos Fil: Meyer, Herbert W.. State University of Pennsylvania; Estados Unidos Fil: Rose, Jacob A.. State University of Pennsylvania; Estados Unidos Fil: Saha, Rohit. State University of Pennsylvania; Estados Unidos Fil: Serre, Thomas. State University of Pennsylvania; Estados Unidos Fil: Cúneo, Néstor Rubén. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Museo Paleontológico Egidio Feruglio; Argentina Fil: Donovan, Michael P.. State University of Pennsylvania; Estados Unidos Fil: Erwin, Diane M.. State University of Pennsylvania; Estados Unidos Fil: Gandolfo, María A.. Cornell University; Estados Unidos Fil: González Akre, Erika. State University of Pennsylvania; Estados Unidos Fil: Herrera, Fabiany. National Museum of Natural History; Estados Unidos Fil: Hu, Shusheng. State University of Pennsylvania; Estados Unidos Fil: Iglesias, Ari. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones en Biodiversidad y Medioambiente. Universidad Nacional del Comahue. Centro Regional Universidad Bariloche. Instituto de Investigaciones en Biodiversidad y Medioambiente; Argentina Fil: Johnson, Kirk R.. Smithsonian Tropical Research Institute; Panamá Fil: Karim, Talia S.. University of Colorado; Estados Unidos Fil: Zou, Xiaoyu. State University of Pennsylvania; Estados Unidos |
| description |
Leaves are the most abundant and visible plant organ, both in the modern world and the fossil record. Identifying foliage to the correct plant family based on leaf architecture is a fundamental botanical skill that is also critical for isolated fossil leaves, which often, especially in the Cenozoic, represent extinct genera and species from extant families. Resources focused on leaf identification are remarkably scarce; however, the situation has improved due to the recent proliferation of digitized herbarium material, live-plant identification applications, and online collections of cleared and fossil leaf images. Nevertheless, the need remains for a specialized image dataset for comparative leaf architecture. We address this gap by assembling an open-access database of 30,252 images of vouchered leaf specimens vetted to family level, primarily of angiosperms, including 26,176 images of cleared and x-rayed leaves representing 354 families and 4,076 of fossil leaves from 48 families. The images maintain original resolution, have user-friendly filenames, and are vetted using APG and modern paleobotanical standards. The cleared and x-rayed leaves include the Jack A. Wolfe and Leo J. Hickey contributions to the National Cleared Leaf Collection and a collection of high-resolution scanned x-ray negatives, housed in the Division of Paleobotany, Department of Paleobiology, Smithsonian National Museum of Natural History, Washington D.C.; and the Daniel I. Axelrod Cleared Leaf Collection, housed at the University of California Museum of Paleontology, Berkeley. The fossil images include a sampling of Late Cretaceous to Eocene paleobotanical sites from the Western Hemisphere held at numerous institutions, especially from Florissant Fossil Beds National Monument (late Eocene, Colorado), as well as several other localities from the Late Cretaceous to Eocene of the Western USA and the early Paleogene of Colombia and southern Argentina. The dataset facilitates new research and education opportunities in paleobotany, comparative leaf architecture, systematics, and machine learning. |
| publishDate |
2021 |
| dc.date.none.fl_str_mv |
2021-12 |
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info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
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article |
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publishedVersion |
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http://hdl.handle.net/11336/184093 Wilf, Peter; Wing, Scott L.; Meyer, Herbert W.; Rose, Jacob A.; Saha, Rohit; et al.; An image dataset of cleared, x-rayed, and fossil leaves vetted to plant family for human and machine learning; Pensoft Publishers; PhytoKeys; 187; 12-2021; 93-128 1314-2003 1314-2011 CONICET Digital CONICET |
| url |
http://hdl.handle.net/11336/184093 |
| identifier_str_mv |
Wilf, Peter; Wing, Scott L.; Meyer, Herbert W.; Rose, Jacob A.; Saha, Rohit; et al.; An image dataset of cleared, x-rayed, and fossil leaves vetted to plant family for human and machine learning; Pensoft Publishers; PhytoKeys; 187; 12-2021; 93-128 1314-2003 1314-2011 CONICET Digital CONICET |
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eng |
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eng |
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Pensoft Publishers |
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Pensoft Publishers |
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dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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