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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'
- 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".
- Subjects :
- Diatoms
OTU
DNA sequencing
River ecological quality
Subjects
Details
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....9459abe843843756dffe46570d6b709a
- Full Text :
- https://doi.org/10.5281/zenodo.3614095