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RMQS1 Microbial gene abundances (16S and 18S) and F:B ratio

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DataCite Commons2025-05-16 更新2025-04-16 收录
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https://entrepot.recherche.data.gouv.fr/citation?persistentId=doi:10.57745/1Z90HV
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RMQS: The French Soil Quality Monitoring Network (RMQS) is a national program for the assessment and long-term monitoring of the quality of French soils. This network is based on the monitoring of 2240 sites representative of French soils and their land use. These sites are spread over the whole French territory (metropolitan and overseas) along a systematic square grid of 16 km x 16 km cells. The network covers a broad spectrum of climatic, soil and land-use conditions (croplands, permanent grasslands, woodlands, orchards and vineyards, natural or scarcely anthropogenic land and urban parkland). The first sampling campaign in metropolitan France took place from 2000 to 2009. Dataset: This dataset contains 16S (Bacteria) and 18S (Fungi microbial gene abundances (number of rDNA copies per gram of soil) from 2,073 points with the 18S/16S ratio. Real-time PCR was used to quantify archeal and bacterial (16S) densities and fungal (18S) gene abundances. The 18S on 16S was then computed and explored in associated article. To enhance the robustness of data comparison, a post-processing treatment was performed by calibration using the master curve method (see the ct values file for data, and Sivaganesan et.al. 2008 See associated articles for details. File structure: rmqs1_ratio_18s_16s.tsv: four columns file with 16S, 18S and 18S/16S adjusted number of rDNA copies per gram of soil (or density) for each site rmqs1_ratio_18s_16s_ct_values.tsv: seven columns file with Ct (qPCR threshold cycles), adjusted Ct and qPCR plate for 16S and 18S values, for each site. Metadata used in the associated study are available at 10.57745/AKSR1A. General RMQS1 environmental metadata are available at 10.15454/QSXKGA (physico-chemical property, landuse, coordinates). Sites with ID longer than 4 number are supplementary sites that are not in the center of the cells (e.g. 10797 and 20797 that came from cell 797).
提供机构:
Recherche Data Gouv
创建时间:
2023-02-21
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