Keles Cigdem, Taborda Maria Jaramillo, Sarver Emily
Department of Mining and Minerals Engineering, Virginia Tech, Blacksburg, VA 24061, USA.
Data Brief. 2022 Apr 1;42:108125. doi: 10.1016/j.dib.2022.108125. eCollection 2022 Jun.
A total of 171 sets respirable dust samples were collected from 25 underground coal mines in several regions of the United States. One sample from each set was analyzed by scanning electron microscopy with energy dispersive X-ray spectroscopy (SEM-EDX) to determine particle size and mineralogy distributions. Results from the first eight mines were presented in the original dataset (Sarver et al., 2019). Here, the dataset is updated to include results from all 25 mines and to further subclassify particle mineralogy using improved SEM-EDX routines. The current article presents particle mineralogy binned by size between about 100-10,000 nm on a per sample basis, and data is also available on a per particle basis. Discussion of the SEM-EDX data is included in a parallel research article "Particle size and mineralogy distributions in respirable dust samples from 25 US underground coal mines" (Sarver et al., 2021). Moreover, sequential digestions and analysis of the digestates by inductively coupled plasma-mass spectroscopy (ICP-MS) were used to estimate mass concentrations of potentially bioaccessible and total-acid soluble metals and trace elements in the respirable dust samples. Results are included here for a total of 76 samples representing 15 mines; results from first eight mines were presented in the original dataset (Sarver et al., 2019) and discussed in an earlier research article (Sarver et al., 2019).
在美国多个地区的25个地下煤矿共采集了171组可吸入粉尘样本。对每组中的一个样本进行扫描电子显微镜结合能量色散X射线光谱分析（SEM-EDX），以确定粒径和矿物学分布。最初的数据集中展示了前八个煤矿的结果（萨弗等人，2019年）。在此，数据集进行了更新，纳入了所有25个煤矿的结果，并使用改进的SEM-EDX程序对颗粒矿物学进行了进一步细分。本文展示了按每个样本中约100 - 10,000纳米粒径范围分类的颗粒矿物学情况，数据也可按每个颗粒获取。SEM-EDX数据的讨论包含在一篇平行的研究文章《美国25个地下煤矿可吸入粉尘样本中的粒径和矿物学分布》（萨弗等人，2021年）中。此外，通过电感耦合等离子体质谱法（ICP-MS）对消化产物进行连续消解和分析，以估算可吸入粉尘样本中潜在生物可利用和总酸溶性金属及微量元素的质量浓度。这里给出了代表15个煤矿的76个样本的结果；前八个煤矿的结果已在原始数据集中展示（萨弗等人，2019年），并在一篇早期研究文章中进行了讨论（萨弗等人，2019年）。
