# A comprehensive database for biological data derived from sewage in five European cities

## TL;DR

This paper introduces a detailed and accessible database of sewage metagenomic data from five European cities to support pathogen surveillance and microbial research.

## Contribution

The paper presents a highly curated, longitudinal sewage metagenomic dataset with extensive analytical outputs and a public PostgreSQL database for efficient data reuse.

## Key findings

- The dataset includes 239 sewage samples with taxonomic profiles, antimicrobial resistance genes, and metagenome-assembled genomes.
- Hi-C sequencing was used on a subset of samples to improve genomic linkage analysis.
- A PostgreSQL database was created to enable efficient querying and subsetting of the data.

## Abstract

Sewage metagenomics is a powerful tool for proactive pathogen surveillance and understanding microbial community dynamics. To support such efforts, we present a highly curated and accessible longitudinal dataset of 239 sewage samples collected from five European cities. The dataset, processed through metagenomic sequencing, includes rich analytical outputs such as taxonomic profiles, identified antimicrobial resistance genes, assembled contigs with annotated origins, metagenome-assembled genomes with functional gene annotations, and metadata. Given the computational intensity and time required to reproduce such analyses, we share this dataset to promote reuse and advance research. In addition to the metagenomic data, qPCR was used to identify specific pathogens, and Hi-C sequencing was performed on a subset of the samples to strengthen genomic linkage analysis. Central to this resource is a publicly available PostgreSQL database, designed to facilitate efficient exploration and reuse of the data. This comprehensive database allows users to perform targeted queries, subset data, and streamline access to this extensive resource.