URL: https://www.jmlr.org/papers/volume12/pedregosa11a/pedregosa11a.pdf

Dataset Relation
Amplicon sequence variants (ASVs) recovered from samples and their related identification as Pseudo-nitzschia taxa and the methods used Software
Presence or absence of amplicon sequence variants (ASVs) recovered from samples which are described in DATASET 01, Pseudo-nitzschia spp. from weekly samples and offshore cruises with the Northeast U.S. Shelf (NES) Long-Term Ecological Research (LTER) Software
Citation Style: 
APA
Citation Text: 
Pedregosa, F., Varoquaux, G., Gramfort, A., Michel, V., Thirion, B., Grisel, O., ... & Duchesnay, E. (2011). Scikit-learn: Machine learning in Python. the Journal of machine Learning research, 12, 2825-2830.
Identifier Type: 
URL
Identifier Value: 
https://www.jmlr.org/papers/volume12/pedregosa11a/pedregosa11a.pdf
Resource Type: 
Publication