碳酸盐矿物的主微量元素数据集

该数据集包含菱镁矿、白云石、菱铁矿及菱锰矿的主微量元素组成数据。数据来源为中国地质大学（武汉）地质过程与成矿预测全国重点实验室，使用LA-ICP-MS进行采集，分析条件为33 μm束斑、10 Hz剥蚀频率和3-5 J/cm²能量密度，每个点分析包括30秒背景数据采集和40秒样品数据采集。本研究采用多种参考材料（NIST 610和612、BIR-1G、BCR-2G和BHVO-2G）作为外部标准。分析不确定度估计为大多数微量元素优于10%，稀土元素（REE）优于5%。该数据可为碳酸盐矿物成因研究、沉积环境重建以及成矿流体演化过程提供重要地球化学约束。

This dataset contains major and trace element composition data of magnesite, dolomite, siderite and rhodochrosite. The data were collected by LA-ICP-MS at the State Key Laboratory of Geological Processes and Mineral Resources, China University of Geosciences (Wuhan). The analytical conditions include a 33 μm beam spot, 10 Hz ablation frequency, and energy density of 3–5 J/cm². Each analytical spot consists of 30 seconds of background data acquisition and 40 seconds of sample data acquisition. Multiple reference materials (NIST 610, NIST 612, BIR-1G, BCR-2G and BHVO-2G) were used as external standards in this study. The analytical uncertainty is estimated to be better than 10% for most trace elements, and better than 5% for rare earth elements (REE). This dataset can provide important geochemical constraints for studies on the genesis of carbonate minerals, reconstruction of sedimentary environments, and evolution of ore-forming fluids.