![Machine Learning-Based Determination of Sampling Depth for Complex Environmental Systems: Case Study with Single-Cell Raman Spectroscopy Data in EBPR Systems | Environmental Science & Technology Machine Learning-Based Determination of Sampling Depth for Complex Environmental Systems: Case Study with Single-Cell Raman Spectroscopy Data in EBPR Systems | Environmental Science & Technology](https://pubs.acs.org/cms/10.1021/acs.est.1c08768/asset/images/medium/es1c08768_0002.gif)
Machine Learning-Based Determination of Sampling Depth for Complex Environmental Systems: Case Study with Single-Cell Raman Spectroscopy Data in EBPR Systems | Environmental Science & Technology
![The impact of sequencing depth on the inferred taxonomic composition and AMR gene content of metagenomic samples | Environmental Microbiome | Full Text The impact of sequencing depth on the inferred taxonomic composition and AMR gene content of metagenomic samples | Environmental Microbiome | Full Text](https://media.springernature.com/full/springer-static/image/art%3A10.1186%2Fs40793-019-0347-1/MediaObjects/40793_2019_347_Fig2_HTML.png)
The impact of sequencing depth on the inferred taxonomic composition and AMR gene content of metagenomic samples | Environmental Microbiome | Full Text
![Regional-scale evidence that determinants of soil microbial biomass and N mineralization depend on sampling depth and layer on the Mongolian Plateau - ScienceDirect Regional-scale evidence that determinants of soil microbial biomass and N mineralization depend on sampling depth and layer on the Mongolian Plateau - ScienceDirect](https://ars.els-cdn.com/content/image/1-s2.0-S0341816222001667-ga1.jpg)