https://doi.org/10.25678/000B5R
Aquascope February 2022
Dataset extent
Data and Resources
Citation
Dennis, S., Merz, E., Reyes, M., Merkli, S., Baity Jesi, M., Kyathanahally, S., et al. (2023). Aquascope February 2022 (Version 1.0). Eawag: Swiss Federal Institute of Aquatic Science and Technology. https://doi.org/10.25678/000B5R
Metadata
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Keywords | phytoplankton images,zooplankton images,plankton classification,machine learning,time series,image features,plankton communities |
Taxa (scientific names) |
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Organisms (generic terms) |
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Timerange |
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Review Level | domain specific |
Curator | Dennis, Stuart |
Contact | Pomati, Francesco <Francesco.Pomati@eawag.ch> |