Published June 9, 2020
| Version v1
Dataset
Open
Machine Learning for Outlier Detection in Algal and Cyanobacterial Fluorescence Signals
Authors/Creators
- 1. University of Toronto
- 2. Water Research Australia
Description
Excel files containing chlorophyll a and phycocyanin fluorescence data imported from https://www.glerl.noaa.gov/res/HABs_and_Hypoxia/habTracker.html for buoys WE2, WE4, WE8, and WE13. The Python code used to manipulate the data and generate figures is also included.
Files
2020WR028110 SI Python Code for Figures.pdf
Files
(8.5 MB)
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md5:333f4628c5d964a39fd5c2d1024316d0
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1.5 MB | Download |
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md5:86a5d8a15702a8ee3e1ac9e280b412f1
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1.8 MB | Download |
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md5:62d03bd719d1fb49459fc54dae94023f
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1.8 MB | Download |
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md5:f8adecb700c5c3e16eaf3ae0535f5a18
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1.3 MB | Download |
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md5:eb373a86a840f4065172bade0462a6cf
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1.6 MB | Download |
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md5:cb9ac094671ec40326edb4626612e871
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138.9 kB | Preview Download |
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md5:9c9a5092574d12de0db1a4fad079f6d8
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384.9 kB | Download |