https://doi.org/10.25678/000B1M
Aquascope November 2021
Dataset extent
Data and Resources
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images_5p0xMAG_nov2021.tar.gzTAR
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class_and_feat_5p0xMAG_nov2021.tar.gzTAR
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images_0p5xMAG_nov2021.tar.gzTAR
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class_and_feat_0p5xMAG_nov2021.tar.gzTAR
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README.txtTXT
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raw_data_5p0xMAG_nov2021.tar.gzTAR
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raw_data_0p5xMAG_nov2021_1-2.tar.gzTAR
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raw_data_0p5xMAG_nov2021_3-4.tar.gzTAR
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raw_data_0p5xMAG_nov2021_05.tar.gzTAR
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raw_data_0p5xMAG_nov2021_06.tar.gzTAR
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raw_data_0p5xMAG_nov2021_07a.tar.gzTAR
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raw_data_0p5xMAG_nov2021_07b.tar.gzTAR
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raw_data_0p5xMAG_nov2021_08.tar.gzTAR
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raw_data_0p5xMAG_nov2021_09.tar.gzTAR
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raw_data_0p5xMAG_nov2021_10a.tar.gzTAR
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raw_data_0p5xMAG_nov2021_10b.tar.gzTAR
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raw_data_0p5xMAG_nov2021_11a.tar.gzTAR
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raw_data_0p5xMAG_nov2021_11b.tar.gzTAR
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raw_data_0p5xMAG_nov2021_12a.tar.gzTAR
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raw_data_0p5xMAG_nov2021_12b.tar.gzTAR
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raw_data_0p5xMAG_nov2021_12c.tar.gzTAR
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raw_data_0p5xMAG_nov2021_13.tar.gzTAR
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raw_data_0p5xMAG_nov2021_14.tar.gzTAR
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raw_data_0p5xMAG_nov2021_15.tar.gzTAR
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raw_data_0p5xMAG_nov2021_16.tar.gzTAR
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raw_data_0p5xMAG_nov2021_17.tar.gzTAR
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raw_data_0p5xMAG_nov2021_18.tar.gzTAR
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raw_data_0p5xMAG_nov2021_19.tar.gzTAR
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raw_data_0p5xMAG_nov2021_20a.tar.gzTAR
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raw_data_0p5xMAG_nov2021_20b.tar.gzTAR
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raw_data_0p5xMAG_nov2021_20c.tar.gzTAR
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raw_data_0p5xMAG_nov2021_21a.tar.gzTAR
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raw_data_0p5xMAG_nov2021_21b.tar.gzTAR
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raw_data_0p5xMAG_nov2021_21c.tar.gzTAR
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raw_data_0p5xMAG_nov2021_22a.tar.gzTAR
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raw_data_0p5xMAG_nov2021_22b.tar.gzTAR
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raw_data_0p5xMAG_nov2021_22c.tar.gzTAR
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raw_data_0p5xMAG_nov2021_23.tar.gzTAR
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raw_data_0p5xMAG_nov2021_24.tar.gzTAR
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raw_data_0p5xMAG_nov2021_25a.tar.gzTAR
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raw_data_0p5xMAG_nov2021_25b.tar.gzTAR
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raw_data_0p5xMAG_nov2021_25c.tar.gzTAR
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raw_data_0p5xMAG_nov2021_26.tar.gzTAR
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raw_data_0p5xMAG_nov2021_27.tar.gzTAR
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raw_data_0p5xMAG_nov2021_28.tar.gzTAR
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raw_data_0p5xMAG_nov2021_29.tar.gzTAR
Citation
Dennis, S., Merz, E., Reyes, M., Merkli, S., Baity Jesi, M., Kyathanahally, S., et al. (2023). Aquascope November 2021 (Version 1.0). Eawag: Swiss Federal Institute of Aquatic Science and Technology. https://doi.org/10.25678/000B1M
Metadata
Author |
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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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Geographic Name(s) |
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Review Level | domain specific |
Curator | Dennis, Stuart |
Contact | Pomati, Francesco <Francesco.Pomati@eawag.ch> |
DOI | 10.25678/000B1M |