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An image dataset of cleared, x-rayed, and fossil leaves vetted to plant family for human and machine learning.
Wilf, Peter; Wing, Scott L; Meyer, Herbert W; Rose, Jacob A; Saha, Rohit; Serre, Thomas; Cúneo, N 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.
Afiliação
  • Wilf P; Department of Geosciences and Earth and Environmental Systems Institute, Pennsylvania State University, University Park, PA 16802, USA Pennsylvania State University University Park United States of America.
  • Wing SL; Department of Paleobiology, Smithsonian Institution, Washington, DC 20013, USA Department of Paleobiology, Smithsonian Institution Washington, DC United States of America.
  • Meyer HW; Florissant Fossil Beds National Monument, National Park Service, Florissant, CO 80816, USA Florissant Fossil Beds National Monument, National Park Service Florissant United States of America.
  • Rose JA; School of Engineering, Brown University, Providence, RI 02912, USA Brown University Providence United States of America.
  • Saha R; Department of Cognitive, Linguistic and Psychological Sciences, Carney Institute for Brain Science, Brown University, Providence, RI 02912, USA Museo Paleontológico E. Feruglio Trelew Argentina.
  • Serre T; Department of Cognitive, Linguistic and Psychological Sciences, Carney Institute for Brain Science, Brown University, Providence, RI 02912, USA Museo Paleontológico E. Feruglio Trelew Argentina.
  • Cúneo NR; CONICET-Museo Paleontológico Egidio Feruglio, Trelew 9100, Chubut, Argentina epartment of Paleobotany and Paleoecology, Cleveland Museum of Natural History Cleveland United States of America.
  • Donovan MP; Department of Paleobotany and Paleoecology, Cleveland Museum of Natural History, Cleveland, OH 44106, USA University of California-Berkeley Berkeley United States of America.
  • Erwin DM; University of California-Berkeley, Museum of Paleontology, Berkeley, CA 94720, USA Cornell University Ithaca United States of America.
  • Gandolfo MA; LH Bailey Hortorium, Plant Biology Section, School of Integrative Plant Science, Cornell University, Ithaca, NY, 14853, USA Smithsonian Conservation Biology Institute, National Zoological Park, Front Royal United States of America.
  • González-Akre E; Conservation Ecology Center, Smithsonian Conservation Biology Institute, National Zoological Park, Front Royal, VA, 22630, USA Negaunee Integrative Research Center, Field Museum of Natural History Chicago United States of America.
  • Herrera F; Negaunee Integrative Research Center, Field Museum of Natural History, Chicago, IL, 60605, USA Yale University New Haven United States of America.
  • Hu S; Division of Paleobotany, Peabody Museum of Natural History, Yale University, New Haven, CT 06520, USA Instituto de Investigaciones en Biodiversidad y Ambiente INIBIOMA, CONICET-UNComa San Carlos de Bariloche Argentina.
  • Iglesias A; Instituto de Investigaciones en Biodiversidad y Ambiente INIBIOMA, CONICET-UNComa, San Carlos de Bariloche 8400, Río Negro, Argentina Department of Paleobiology, Smithsonian Institution Washington United States of America.
  • Johnson KR; Department of Paleobiology, Smithsonian Institution, Washington, DC 20013, USA Department of Paleobiology, Smithsonian Institution Washington, DC United States of America.
  • Karim TS; University of Colorado Museum of Natural History, Boulder, CO 80503, USA University of Colorado Museum of Natural History Boulder United States of America.
  • Zou X; Department of Geosciences and Earth and Environmental Systems Institute, Pennsylvania State University, University Park, PA 16802, USA Pennsylvania State University University Park United States of America.
PhytoKeys ; 187: 93-128, 2021.
Article em En | MEDLINE | ID: mdl-35068970

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: PhytoKeys Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: PhytoKeys Ano de publicação: 2021 Tipo de documento: Article
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