INTEGRATING PHENOTYPE, GENOTYPE, AND
ENVIRONMENTAL DATA FOR GEOREFERENCED PLANTS
ENVIRONMENTAL DATA FOR GEOREFERENCED PLANTS
Long-lived and sessile plant species serve as ideal models to assess population structure and adaptation to the environment. Despite the availability of comprehensive data, the researchers who study them are challenged to integrate data describing genotype, phenotype, and the environment. Towards this goal, the web application CartograTree (now known as CartograPlant), was designed and implemented as an open repository and open-source analytic web-based framework for all three. | ||||||||||||||||
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25,606,402 plants |
801 species |
321 genera |
1,114,284,506 genotypes |
1,922,862 phenotypes |
988 map layers |
418
studies
from 43 countries |
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Current Curation Team
Meghan Myles | 45,797 plants |
Rachel Wolther | 43,358 plants |
Isabella Harding | 27,534 plants |
Jeffrey Gamer | 18,487 plants |
Madison Gadomski | 13,636 plants |
Curation Alumni
Charles Demurjian | 66,367 plants |
Emily Strickland | 32,676 plants |
Victoria Burton | 25,693 plants |
Isaac McEvoy | 6,676 plants |
Barnaly Pande | 5,030 plants |
External Submissions
Minh, Nguyen, Tam, et al. | 234 plants |
x, , et al. | 10 plants |
x, , et al. | 10 plants |
x, , et al. | 10 plants |
x, , et al. | 10 plants |