<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>12(12)</volume><submitter>Xia Y</submitter><funding>Research on Ecological and Environmental Risk Management for CHN Energy</funding><funding>Tianjin Research Program of Application Foundation and Advanced Technology</funding><journal>Toxics</journal><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC11679552</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Using Sediment Bacterial Communities to Predict Trace Metal Pollution Risk in Coastal Environment Management: Feasibility, Reliability, and Practicability</pubmed_title><pmcid>PMC11679552</pmcid><funding_grant_id>14JCYBJC23000</funding_grant_id><funding_grant_id>HBHZ2024Y01</funding_grant_id><pubmed_authors>Xia Y</pubmed_authors><pubmed_authors>Yang X</pubmed_authors><pubmed_authors>Fang Y</pubmed_authors><pubmed_authors>Liu J</pubmed_authors><pubmed_authors>Ling X</pubmed_authors><pubmed_authors>Xu Z</pubmed_authors><pubmed_authors>Liu F</pubmed_authors></additional><is_claimable>false</is_claimable><name>Using Sediment Bacterial Communities to Predict Trace Metal Pollution Risk in Coastal Environment Management: Feasibility, Reliability, and Practicability</name><description/><dates><release>2024-01-01T00:00:00Z</release><publication>2024 Nov</publication><modification>2025-04-04T02:23:05.916Z</modification><creation>2025-04-04T02:23:05.916Z</creation></dates><accession>S-EPMC11679552</accession><cross_references/></HashMap>