Adiac
Authors/Creators
Description
This dataset is part of the TSML dataset archive maintained by University of Southampton and University of Bradford researchers. Please cite a relevant or the latest full archive release if you use the datasets. See http://www.timeseriesclassification.com/ for information on the group and alternative download sources.
This dataset was originally part of the University of California, Riverside (UCR) time series classification archive.
The Automatic Diatom Identification and Classification (ADIAC) project was a pilot study concerning automatic identification of diatoms (unicellular algae) on the basis of images. The data was donated by Andrei Jalba, a PhD student on the project, which finished in the early 2000s. The outlines are extracted from thresholded images. Presumably the time series are generated as distance to a reference point (the centre being the obvious candidate). The data is very sinusoidal.
Donator: A. Jalba
Files
Files
(1.5 MB)
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md5:04b7df2e6c922d845338ce8d6fe28df4
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760.6 kB | Download |
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md5:0e0af1472f093df1cbac0c5c92819260
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758.8 kB | Download |
Additional details
Related works
- Is derived from
- Publication: 978-90-367-2053-3 (ISBN)
- Is part of
- Publication: 10.1109/JAS.2019.1911747 (DOI)
References
- Dau, H.A., Bagnall, A., Kamgar, K., Yeh, C.C.M., Zhu, Y., Gharghabi, S., Ratanamahatana, C.A. and Keogh, E., 2019. The UCR time series archive. IEEE/CAA Journal of Automatica Sinica, 6(6), pp.1293-1305.