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ZENODO
Dataset . 2017
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2017
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2017
License: CC BY
Data sources: ZENODO
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ECODSE competition training set

Authors: ECODSE group;

ECODSE competition training set

Abstract

Data products Individual Tree Crown (ITC) data was collected by Sarah Graves and Justin Gearhart. Data in the RSdata folder are derived from NEON-AOP data, collected in 2015 at Ordway Swisher Biological Station. NEON AOP data have been manipulated into the distributed product by the members of the ECODSE group, primarily Sarah Graves and Sergio Marconi. Data in the Task2 folder were provided by NEON. Data have been cleaned, subset, and organized to better match the purposes of the competition. All members of the ECODSE group, primarily Sarah Graves and Sergio Marconi, were involved in the preparing the data products. Data in Task3 folder are derived from combining the NEON-AOP and ITC data, collected at Ordway Swisher Biological Station. NEON AOP data have been manipulated into the provided product by the members of the ECODSE group, and primarily Sarah Graves and Sergio Marconi. Acknowledgments We acknowledge the "Gordon and Betty Moore Foundation’s Data-Driven Discovery Initiative" through Grant GBMF4563, and the "National Institute of Standards and Technology (NIST). Data Science for Multimodal Plant Identification Task." who founded the production of the dataset and the ECODSE competition.

Funders: "Gordon and Betty Moore Foundation's Data-Driven Discovery Initiative" through Grant GBMF4563 "National Institute of Standards and Technology (NIST). Data Science for Multimodal Plant Identification Task."

Keywords

remote sensing, Ecology, ECODSE, FOS: Biological sciences, NEON, NIST DSE

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