Data for Bandopadhyay et al., "Soil microbial ecology and microbiome-metabolite linkages improve understanding of ecosystem states along terrestrial-aquatic interfaces"

These data are from Bandopadhyay et al., "Soil microbial ecology and microbiome-metabolite linkages improve understanding of ecosystem states along terrestrial-aquatic interfaces". This study aims to understand the soil microbial ecology along terrestrial-aquatic interfaces of a freshwater and estuarine region and how it relates to organic matter. We analyzed soil microbial (16S rRNA gene) and organic matter (Fourier-transform ion cyclotron resonance mass spectrometry, FTICR-MS) composition from upland (forested), transition (stressed forest), and wetland positions at three sites in each of the Lake Erie (freshwater) and Chesapeake Bay (estuarine) regions. This dataset includes 16S rRNA gene amplicon data (only processed file types included here) and organic matter composition from FTICR-MS data (raw and processed files included here) from upland (forested), transition (stressed forest), and wetland positions at three sites in each of the Lake Erie and Chesapeake Bay regions. These sites are part of the COMPASS-FME project (https://compass.pnnl.gov/FME/COMPASSFME). File formats and software needed to access files: 16S rRNA gene amplicon data: These files follow the format reported here https://ess-dive.gitbook.io/amplicon-sequencing-reporting-format#updates-in-v1.0.1. As per this format, there are four file types reported: 1. Taxon tables (also called sequence-by-sample or OTU (operational taxonomic unit)/ESV (exact sequence variant) tables) : available in a .txt file format and accessible using TextEdit or MS Excel. 2. Representative sequences (also called consensus sequences) : available in a .fasta format and accessible using TextEdit. 3. Sequencing metadata : available in a MS Excel workbook file format and CSV file format 4. Bioinformatic metadata : available in a MS Excel workbook file format and CSV file format FTICR-MS data: 1. Raw data converted to a processed file with intensities of the peaks in the given samples : available in a MS Excel CSV file format 2. Processed file used in analyses and visualizations (appended as icr_long_) : available in a MS Excel CSV file format 3. Metadata file for ICR features (appended as icr_meta) : available in a MS Excel CSV file format

本数据集源自Bandopadhyay等人发表的研究论文《土壤微生物生态学与微生物组-代谢物关联机制助力解析陆-水界面生态系统状态》（Soil microbial ecology and microbiome-metabolite linkages improve understanding of ecosystem states along terrestrial-aquatic interfaces）。本研究旨在解析淡水与河口区域陆-水界面的土壤微生物生态学特征，及其与有机质的关联。研究团队对伊利湖（淡水）与切萨皮克湾（河口）两个区域各3个采样点的高地（森林）、过渡带（受胁迫森林）及湿地点位的土壤微生物（16S rRNA基因）与有机质组成进行了分析，其中有机质组成通过傅里叶变换离子回旋共振质谱（Fourier-transform ion cyclotron resonance mass spectrometry, FTICR-MS）完成测定。

本数据集包含上述两个区域各3个采样点的高地、过渡带及湿地点位的16S rRNA基因扩增子数据（仅提供已处理文件格式），以及通过FTICR-MS获取的有机质组成数据（包含原始文件与已处理文件）。相关采样点隶属于COMPASS-FME项目（https://compass.pnnl.gov/FME/COMPASSFME）。

以下为文件格式及访问所需软件说明：
1. 16S rRNA基因扩增子数据：遵循该报告规定的格式（https://ess-dive.gitbook.io/amplicon-sequencing-reporting-format#updates-in-v1.0.1），共包含四类文件：
1. 分类学特征表（亦称为序列-样本表或OTU（operational taxonomic unit，操作分类单元）/ESV（exact sequence variant，精准序列变异体）表）：以.txt格式存储，可通过TextEdit或Microsoft Excel打开访问。
2. 代表序列（亦称为共识序列）：以.fasta格式存储，可通过TextEdit打开访问。
3. 测序元数据：以Microsoft Excel工作簿与CSV格式存储。
4. 生物信息学元数据：以Microsoft Excel工作簿与CSV格式存储。
2. FTICR-MS数据：
1. 转换为已处理文件的原始数据（包含指定样本中峰的强度信息）：以Microsoft Excel CSV格式存储。
2. 用于分析与可视化的已处理文件（文件名前缀为icr_long_）：以Microsoft Excel CSV格式存储。
3. ICR特征元数据文件（文件名为icr_meta）：以Microsoft Excel CSV格式存储。