雅鲁藏布江河流-风成沉积系统沉积物结构与组分数据集
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数据集包括5个表，包括样本信息、粒度分布、颗粒圆度、砂岩和重矿物表。样本信息表包括河流/沙丘类型、名称、地点、收集的人员、收集的年份和空间坐标，而其他表提供了详细的沙子结构和成分信息。该数据集包含主要在2019和2021采集的18个河流和风积样品。通过筛分将三个河流砂样品和七个风积沙丘样品分为五个大小等级（32-63μm、63-125μm、125-180μm、180-250μm和250-500μm）。采用高分辨率“多窗口”方法，以尽可能高的精度和精度获取成分数据，避免在重矿物点计数过程中高估细粒度更高的矿物，并进行严格的沉降当量分析。计算每个大样本组成作为所有类别计数结果的加权平均值。所有这些数据都是在南京大学实验室获得的，质量高、可靠。详细的结构和成分数据集使我们能够评估雅鲁藏布江系统河流和风积沙之间的差异。最重要的是，“多窗口”方法为探索样本间和样本内的变异性提供了极好的机会，并有助于理解粒度控制对砂纹理和成分的影响。
This dataset contains five tables, namely the sample information table, grain size distribution table, particle roundness table, sandstone table, and heavy mineral table. The sample information table covers river/dune type, sample name, collection location, collector, collection year, and spatial coordinates, while the other tables provide detailed information on sand structure and composition. This dataset includes 18 fluvial and eolian sand samples, which were mainly collected in 2019 and 2021. Three fluvial sand samples and seven eolian dune samples were separated into five size fractions (32–63 μm, 63–125 μm, 125–180 μm, 180–250 μm, and 250–500 μm) via sieve analysis. A high-resolution "multi-window" method was employed to obtain compositional data with the highest possible accuracy and precision, avoiding overestimation of finer-grained minerals during heavy mineral point counting, and rigorous settling equivalent analysis was performed. The composition of each bulk sample was calculated as the weighted average of the counting results across all size fractions. All data were generated in the laboratory of Nanjing University, and are of high quality and reliability. This detailed structural and compositional dataset enables us to evaluate the differences between fluvial and eolian sands in the Yarlung Zangbo River system. Most importantly, the "multi-window" method provides an excellent opportunity to explore inter- and intra-sample variability, and aids in understanding the impact of grain size control on sand texture and composition.
