https://doi.org/10.25678/000AYH
Aquascope August 2021
Dataset extent
Data and Resources
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images_5p0xMAG_aug2021.tar.gz
TAR
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class_and_feat_5p0xMAG_aug2021.tar.gz
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images_0p5xMAG_aug2021.tar.gz
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class_and_feat_0p5xMAG_aug2021.tar.gz
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README.txt
TXT
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raw_data_5p0xMAG_aug2021.tar.gz
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raw_data_0p5xMAG_aug2021_1-7.tar.gz
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raw_data_0p5xMAG_aug2021_8-14.tar.gz
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raw_data_0p5xMAG_aug2021_15-19.tar.gz
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raw_data_0p5xMAG_aug2021_20a.tar.gz
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raw_data_0p5xMAG_aug2021_20b.tar.gz
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raw_data_0p5xMAG_aug2021_21a.tar.gz
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raw_data_0p5xMAG_aug2021_21b.tar.gz
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raw_data_0p5xMAG_aug2021_22-23.tar.gz
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raw_data_0p5xMAG_aug2021_24a.tar.gz
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raw_data_0p5xMAG_aug2021_24b.tar.gz
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raw_data_0p5xMAG_aug2021_25-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 August 2021 (Version 1.0). Eawag: Swiss Federal Institute of Aquatic Science and Technology. https://doi.org/10.25678/000AYH
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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Geographic Name(s) |
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Review Level | domain specific |
Curator | Dennis, Stuart |
Contact | Pomati, Francesco <Francesco.Pomati@eawag.ch> |