qPCR

<b>研究背景</b>：本研究旨在探讨不同土壤处理条件下微生物群落的基因表达差异。研究重点是不同材料添加下特定功能基因（如 aioA、DrsB、arsM、arsC）的表达。<b>实验设计和数据收集</b>： 我们对 96 个土壤样本进行了 qPCR 实验。<b>qPCR 数据描述</b>： 我们对 4 个靶基因进行了绝对定量。使用标准曲线法确定基因表达水平。数据包括每个样品的 Ct 值和相对表达水平。<b>数据格式和内容</b>：数据已上传为 Excel 文件，其中包含每个样品的 Ct 值、基因名称、参考基因 Ct 值和相对表达水平。每行代表一个样品，各列包括样品 ID、目标基因的 Ct 值和参考基因的 Ct 值。<b>数据使用限制和许可</b>：此数据集在 <b>CC BY-ND 4.0</b>，允许其他人按原样共享数据，但禁止修改。如果使用，请根据需要引用来源。<b>其他信息</b>：请注意，数据的准确性可能会受到实验变化的影响，尤其是在样品处理和基因引物的选择方面。

Research Background: This study aims to explore the differences in gene expression of microbial communities under different soil treatment conditions. The research focuses on the expression of specific functional genes (such as aioA, DrsB, arsM, arsC) with the addition of different materials.
Experimental Design and Data Collection: We conducted qPCR experiments on 96 soil samples.
qPCR Data Description: Absolute quantification was performed for 4 target genes. The standard curve method was used to determine gene expression levels. The data include the Ct value and relative expression level of each sample.
Data Format and Content: The data have been uploaded as an Excel file, which contains the Ct value of each sample, gene name, reference gene Ct value and relative expression level. Each row represents one sample, and the columns include sample ID, Ct value of the target gene and Ct value of the reference gene.
Data Usage Restrictions and Licensing: This dataset is licensed under CC BY-ND 4.0, which allows others to share the data in its original form but prohibits modification. Please cite the source appropriately if the dataset is used.
Additional Information: Please note that the accuracy of the data may be affected by experimental variations, particularly in sample processing and the selection of gene primers.