R. E. Danczak

The paper analyzes spatial and temporal metagenomic data from a wastewater-impacted river to reveal viral and microbial community dynamics and their potential roles in biogeochemical cycles.

The paper evaluates how sample treatment and ionization mode affect the characterization of riverine environmental metabolomes using high-resolution mass spectrometry.

This study uses community science to analyze global river metabolomes, revealing differences between surface water and sediment and significant spatial variation in sediment metabolites.

The paper tests a conceptual framework linking microbial communities with environmental factors and processes, finding non-linear feedbacks triggered by disturbance.

The paper applies ecological theory to environmental metabolomes, revealing compositional divergence despite conserved molecular properties through the concept of thermodynamic redundancy.

The paper unifies environmental metabolomics with metacommunity ecology to analyze NOM composition using ecological metrics and dendrograms.