Harmonized Datasets of microbiological parameters from a French national-scale soil monitoring survey
Microbiological datasets and associated environmental parameters from the French soil quality monitoring network (RMQS) offer an opportunity for long-term and large-scale soil quality monitoring. Soils supply important ecosystem services e.g. carbon dynamics/storage or mineral element recycling, sup...
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Published in | Scientific data Vol. 12; no. 1; pp. 34 - 42 |
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Main Authors | , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
London
Nature Publishing Group UK
08.01.2025
Nature Publishing Group Nature Portfolio |
Subjects | |
Online Access | Get full text |
ISSN | 2052-4463 2052-4463 |
DOI | 10.1038/s41597-024-04318-5 |
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Summary: | Microbiological datasets and associated environmental parameters from the French soil quality monitoring network (RMQS) offer an opportunity for long-term and large-scale soil quality monitoring. Soils supply important ecosystem services e.g. carbon dynamics/storage or mineral element recycling, supported by the soil microbial diversity (bacteria, archaea and fungi). Based on the 2,240 sites of the 2000–2015 RMQS, molecular tools were applied to characterize soil microbiota. Soil DNA analysis yielded molecular microbial biomass for 2,168 sites, bacterial and fungal qPCR for 2,073 sites, and high-throughput amplicon sequencing of targeted 16S rDNA bacterial and archaeal genes for 1,842 sites. All these datasets were partially or completely unavailable, so raw results files from RMQS microbiological studies were harmonized and published in a Dataverse repository to facilitate their reusability. Altogether, these datasets allow for in-depth studies of soil microbial ecology and biogeography, and will be updated with fungal datasets and the second currently ongoing monitoring campaign (2016–2027). |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 ObjectType-Article-2 ObjectType-Undefined-1 ObjectType-Feature-3 content type line 23 |
ISSN: | 2052-4463 2052-4463 |
DOI: | 10.1038/s41597-024-04318-5 |