本数据集聚焦复杂微细粒毒砂型金矿，系统涵盖该类型金矿工艺矿物学及表面性质研究的关键数据。其中工艺矿物学数据包括矿石主要元素含量、矿物组成及含量、载金矿物（毒砂、黄铁矿、磁黄铁矿等）的嵌布特征与粒度分布、金的赋存状态及嵌布关系等；表面性质数据涵盖特征矿物（黄铁矿、毒砂、磁黄铁矿、绢云母、石英等）的润湿性（接触角）、表面电性（动电位、等电点）及可浮性等关键指标。该数据集为复杂微细粒毒砂型金矿的选矿药剂研发、浮选工艺优化及高效开发利用提供了基础数据支撑。\n
本数据集主要涵盖项目所使用金矿样品的工艺矿物学及表面性质研究的相关数据，主要包括了化学成分、矿物组成、粒度特征、金的赋存状态及嵌布关系，特征矿物的润湿性、电性等表面性质等相关实验数据。该部分研究结果为后续选矿药剂研发和浮选试验的开展奠定了基础。\n
1. 名称解释：化学成分：指矿石中主要元素的含量数据；矿物组成：指矿石中各类矿物的种类及占比数据；粒度特征：指矿物颗粒的尺寸分布数据，包括不同粒级的嵌布比例；金的赋存状态及嵌布关系：指金在载体矿物中的分布形式及与其他矿物的空间关系数据；润湿性：通过矿物表面接触角表征，反映矿物表面亲水 /疏水特性的数据；电性：指矿物表面动电位、等电点等反映表面电荷特性的数据。\n
2. 量纲（度量单位）：Au含量单位为克 / 吨（g/t）；其他元素（如 SiO₂、Al₂O₃、As、S 等）含量单位为百分比（%）；粒度单位为微米（μm、mm）；\n接触角单位为度（°）；动电位单位为毫伏（mV）。\n
3. 数据精度：化学分析数据精度：Au、Ag 测定精度至 0.01g/t，其他元素至 0.001%；粒度分析精度：粒级分布数据精确至 0.01%；接触角测量精度：至0.01°（如黄铁矿自然接触角 41.96°）等。", "ds_source": "
本数据集数据来源于试验观测，国内样品取自青海都兰金辉矿业有限公司黄龙沟金矿带（典型复杂微细粒毒砂型金矿），国外样品取自塔吉克斯坦粟特州塔罗金矿。为保证样品代表性，所取样品经严格试样加工后，采用方格缩分法取样。试验过程中使用的仪器与方法包括：X射线荧光光谱仪进行化学成分定性分析，化学多项分析测定元素定量含量，光学显微镜分析矿物种类及嵌布特征，Minilab ILMS 接触角测定仪测量矿物表面润湿性，动电位仪测定矿物表面电性，单矿物浮选试验考察矿物可浮性等。", "ds_process_way": "
本数据集数据为试验观测数据，加工过程如下：首先通过方格缩分法对金矿样品进行标准化取样，确保样品代表性；随后采用 X 射线荧光光谱分析、化学多项分析等手段对样品化学成分进行数字化测定与记录；通过光学显微分析获取矿物组成、嵌布特征等数据并进行图像数字化处理；利用接触角测定仪、动电位仪等设备对矿物表面润湿性、电性等表面性质进行实验测试，记录原始数据；所有数据经精度验证、异常值排查等质量控制措施处理，确保数据准确性与可靠性。", "ds_quality": "
数据准确，达到精度要求。", "ds_acq_start_time": "2023-07-01 00:00:00", "ds_acq_end_time": "2025-06-30 00:00:00", "ds_acq_place": "青海都兰金辉矿业有限公司黄龙沟金矿,塔吉克斯坦粟特州塔罗金矿", "ds_acq_lon_east": null, "ds_acq_lat_south": null, "ds_acq_lon_west": null, "ds_acq_lat_north": null, "ds_acq_alt_low": 2500.0, "ds_acq_alt_high": 3400.0, "ds_share_type": "apply-access", "ds_total_size": 60801, "ds_files_count": 2, "ds_format": "*.docx", "ds_space_res": null, "ds_time_res": "", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "db26f635-8f94-46b7-828e-db2fe1b88f3a.jpg", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "761408cf-66c4-498b-b9f7-eacf2f1b43c2", "ds_serv_man": "敏玉芳", "ds_serv_phone": "0931-4967596", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.5021" ], "quality_level": 3, "publish_time": "2025-09-29 19:59:41", "last_updated": "2025-09-29 19:59:41", "protected": false, "protected_to": "2027-09-29 00:00:00", "lang": "zh", "cstr": "11738.11.NCDC.EMXK_01.DB6976.2025", "i18n": { "en": { "title": "Dataset of Process Mineralogy and Surface Property Analysis for Complex Micro-Fine-Grained Arsenopyrite-Type Gold Ore", "ds_format": "", "ds_source": "
The data in this dataset is sourced from experimental observations. Domestic samples were taken from the Huanglonggou gold deposit belt of Qinghai Dulan Jinhui Mining Co., Ltd. (a typical complex fine-grained toxic sand gold deposit), while foreign samples were taken from the Tarot gold deposit in the Sogdian region of Tajikistan. To ensure the representativeness of the samples, after strict sample processing, the samples were taken using the grid reduction method. The instruments and methods used in the experimental process include: X-ray fluorescence spectrometer for qualitative analysis of chemical composition, chemical multiple analysis for quantitative content of elements, optical microscope for analysis of mineral types and embedding characteristics, Minilab ILMS contact angle analyzer for measuring mineral surface wettability, potentiodynamic analyzer for measuring mineral surface electrical properties, single mineral flotation test for examining mineral floatability, etc.", "ds_quality": "
The data is accurate and meets the precision requirements.", "ds_ref_way": "", "ds_abstract": "
This dataset focuses on complex fine-grained toxic sand gold deposits and systematically covers key data for the study of process mineralogy and surface properties of this type of gold deposit. The process mineralogy data includes the content of major elements in the ore, mineral composition and content, the distribution characteristics and particle size distribution of gold carrying minerals (such as arsenopyrite, pyrite, magnetite, etc.), the occurrence state and distribution relationship of gold, etc; Surface property data covers key indicators such as wettability (contact angle), surface electrical properties (dynamic potential, isoelectric point), and floatability of characteristic minerals (pyrite, arsenopyrite, magnetite, sericite, quartz, etc.). This dataset provides basic data support for the research and development of mineral processing agents, optimization of flotation processes, and efficient development and utilization of complex fine-grained toxic sand gold mines.\n
This dataset mainly covers the relevant data of process mineralogy and surface properties research of gold ore samples used in the project, including chemical composition, mineral composition, particle size characteristics, occurrence state and distribution relationship of gold, surface properties such as wettability and electrical properties of characteristic minerals, and other related experimental data. The research results of this section have laid the foundation for the subsequent development of mineral processing reagents and flotation experiments.\n
1. Name explanation: Chemical composition: refers to the content data of the main elements in the ore; Mineral composition: refers to the types and proportions of various minerals in the ore; Particle size characteristics: refers to the size distribution data of mineral particles, including the embedding ratio of different particle sizes; The occurrence state and distribution relationship of gold: refers to the distribution form of gold in carrier minerals and the spatial relationship data with other minerals; Wettability: Data reflecting the hydrophilic/hydrophobic properties of mineral surfaces through the characterization of mineral surface contact angles; Electricity: refers to the data reflecting the surface charge characteristics such as mineral surface dynamic potential and isoelectric point.\n
2. Dimension (unit of measurement): Au content is measured in grams per ton (g/t); The content unit of other elements (such as SiO ₂, Al ₂ O3, As, S, etc.) is percentage (%); The particle size unit is micrometers (μ m, mm);\nThe unit of contact angle is degrees (°); The unit of dynamic potential is millivolts (mV).\n
3. Data accuracy: Chemical analysis data accuracy: Au and Ag determination accuracy up to 0.01g/t, other elements up to 0.001%; Particle size analysis accuracy: The particle size distribution data is accurate to 0.01%; Contact angle measurement accuracy: up to 0.01 ° (such as natural contact angle of 41.96 ° for pyrite), etc.
", "ds_time_res": "", "ds_acq_place": "Huanglonggou Gold Mine of Qinghai Dulan Jinhui Mining Co., Ltd. and Tarot Gold Mine of Sogdian Oblast, Tajikistan", "ds_space_res": "", "ds_projection": "", "ds_process_way": "The data in this dataset is experimental observation data, and the processing process is as follows: first, the gold ore samples are standardized and sampled using the grid reduction method to ensure sample representativeness; Subsequently, digital determination and recording of the chemical composition of the sample were carried out using methods such as X-ray fluorescence spectroscopy and chemical multivariate analysis; Obtain mineral composition, embedding characteristics, and other data through optical microscopy analysis, and perform image digitization processing; Conduct experimental tests on surface properties such as wettability and electrical properties of minerals using equipment such as contact angle measuring instruments and potentiometers, and record raw data; All data is processed through quality control measures such as precision verification and outlier detection to ensure accuracy and reliability of the data.", "ds_ref_instruction": "" } }, "submit_center_id": "ncdc", "data_level": 0, "recommendation_value": 0, "license_type": "https://creativecommons.org/licenses/by/4.0/", "doi_reg_from": "reg_local", "cstr_reg_from": "reg_local", "doi_not_reg_reason": null, "cstr_not_reg_reason": null, "is_paper_in_submitting": false, "ds_topic_tags": [ "金矿", "工艺矿物学", "表面性质" ], "ds_subject_tags": [ "矿物学" ], "ds_class_tags": [], "ds_locus_tags": [ "青海柴达木盆地", "塔吉克斯坦粟特州" ], "ds_time_tags": [ 2023, 2024, 2025 ], "ds_contributors": [ { "true_name": "赵开乐", "email": "277963188@qq.com", "work_for": "中国地质科学院矿产综合利用研究所", "country": "中国" }, { "true_name": "王振", "email": "wangzhen@swust.edu.cn", "work_for": "西南科技大学", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "赵开乐", "email": "277963188@qq.com", "work_for": "中国地质科学院矿产综合利用研究所", "country": "中国" }, { "true_name": "王振", "email": "wangzhen@swust.edu.cn", "work_for": "西南科技大学", "country": "中国" } ], "ds_managers": [ { "true_name": "赵开乐", "email": "277963188@qq.com", "work_for": "中国地质科学院矿产综合利用研究所", "country": "中国" }, { "true_name": "王振", "email": "wangzhen@swust.edu.cn", "work_for": "西南科技大学", "country": "中国" } ], "category": "其他" }