Skip to content
JournalsWorldThe Global Research Discovery Platform
Featured Dataset

ECODSE competition training set

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 m

👤
CreatorECODSE group
📅
Published2017-08-31
🔗
DOI10.5281/zenodo.1206101
📊
Downloads2,872
⚖️
Licensecc-by-4.0
File Size665.5 MB
Data TypeDataset
Published2017
Licensecc-by-4.0
Total Views2,849
Total Downloads2,872

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.

📤 Share this page

Found this useful? Share it with your network.

✓ Link copied! Paste it on ResearchGate / Academia.edu
📦
ECODSE competition training set (Full Dataset)665.5 MB
⬇
📄
ReadmeVia DOI record
↗

Files are hosted on the source repository. Click download to access the full dataset.

ECODSE group (2017). ECODSE competition training set. https://doi.org/10.5281/zenodo.1206101