Data for: An Interpretable Microbiome ML Pipeline for Affective Disorders: A Case Study on American Gut Data

American Gut (Qiita 10317) Inputs and Processed Tables for Affective-Disorder Microbiome ML Pipeline (v1.0) This dataset archives the inputs and processed tables used in:“An Interpretable Microbiome ML Pipeline for Affective Disorders: A Case Study on American Gut Data.” Contents • Exact inputs used - AG_100nt_even1k.biom (American Gut Project; rarefied to 1,000 sequences/sample) - 10317_20250712-045924.txt (Qiita study 10317 metadata export; downloaded 2025-07-12) - 97_otu_taxonomy.txt (Greengenes 13_8 taxonomy map; OTU → taxonomy) • Processed tables used in the manuscript - filtered_otu.csv - otu_processed.csv - filtered_metadata.csv - y_labels.csv - top_features.csv - classification_report.csv ProvenanceRaw sequences are publicly available from the American Gut Project via Qiita (study 10317). The OTU table “AG_100nt_even1k.biom” is the public American Gut mirror rarefied to 1,000 reads/sample. Metadata were exported from Qiita on 2025-07-12. Taxonomy uses Greengenes 13_8. How to recreateThe corresponding analysis code with instructions is on GitHub (see Related works). - Data in this archive: CC BY 4.0- Code (GitHub repository): MIT