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Data supplementing the article 'A taxonomy-free approach based on machine learning to assess streams' quality with diatoms' submitted to journal 'Science of the Total Environment'

Authors :
Feio, Maria João
Serra, Sónia RQ
Mortágua, Andreia
Bouchez, Agnès
Rimet, Frédéric
Vasselon, Valentin
Almeida, Salomé FP
Publication Year :
2020
Publisher :
Zenodo, 2020.

Abstract

Data supplementing the article "A taxonomy-free approach based on machine learning to assess streams' quality with diatoms" submitted to journal "Science of the Total Environment" It contains: "81_samples_fasq_files_R1_R2_Mothur.zip" - 162 fastq files (81 R1 + 81 R2 fastq file per sample) used in Mothur software for bioinformatic treatment (to produce an OTU table). The fastq files names and correspondent samples ID are listed in Excel file "81_samples_list_Mothur.xlsx".

Details

Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....9459abe843843756dffe46570d6b709a
Full Text :
https://doi.org/10.5281/zenodo.3614095