https://doi.org/10.25678/000BQ5
Aquascope March 2023
Dataset extent
Data and Resources
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class_and_feat_0p5xMAG_mar2023.tar.gz
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images_0p5xMAG_mar2023.tar.gz
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class_and_feat_5p0xMAG_mar2023.tar.gz
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images_5p0xMAG_mar2023.tar.gz
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README.txt
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raw_data_5p0xMAG_mar2023.tar.gz
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raw_data_0p5xMAG_mar2023_01.tar.gz
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raw_data_0p5xMAG_mar2023_02.tar.gz
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raw_data_0p5xMAG_mar2023_3-4.tar.gz
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raw_data_0p5xMAG_mar2023_5-6.tar.gz
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raw_data_0p5xMAG_mar2023_7-8.tar.gz
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raw_data_0p5xMAG_mar2023_9-10.tar.gz
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raw_data_0p5xMAG_mar2023_11-12.tar.gz
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raw_data_0p5xMAG_mar2023_13-14.tar.gz
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raw_data_0p5xMAG_mar2023_15-16.tar.gz
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raw_data_0p5xMAG_mar2023_17-18.tar.gz
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raw_data_0p5xMAG_mar2023_19-21.tar.gz
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raw_data_0p5xMAG_mar2023_22-25.tar.gz
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raw_data_0p5xMAG_mar2023_26-end.tar.gz
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LICENSE
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LICENSE.txt
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Citation
Dennis, S., Merz, E., Reyes, M., Merkli, S., Baity Jesi, M., Kyathanahally, S., et al. (2023). Aquascope March 2023 (Version 1.0). Eawag: Swiss Federal Institute of Aquatic Science and Technology. https://doi.org/10.25678/000BQ5
Metadata
Author |
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Keywords | phytoplankton images,zooplankton images,plankton classification,machine learning,time series,image features,plankton communities |
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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> |