本数据集来源于矿区土壤养分状况的检测，旨在评估不同处理条件下土壤理化性质的差异。数据集共包含 51 个连续编号的样品，并通过统一实验方法获取了有机质、全氮、全磷和全钾四项关键养分含量指标。结果反映了矿区土壤在不同处理条件下的养分水平及其差异性，为揭示矿区土壤改良效果和养分分布规律提供了系统性基础。
", "ds_source": "本数据集的数据源于矿区土壤在不同处理条件下的采样与检测。采样点覆盖了矿区典型地块，样品数量为 51 个。这些土壤样品分别代表了矿区土壤在不同处理方式下的理化性质差异，涵盖了原状土壤、不同修复措施下的处理土壤及可能存在的改良土壤类型。样品经自然风干、研磨和过筛后，按照统一规范进行养分含量检测。检测内容集中在土壤养分水平的关键指标，包括有机质、全氮、全磷和全钾。实验方法均依据国家或行业标准完成，确保数据的科学性与可比性。各样品数据真实反映了矿区土壤在不同处理条件下的养分特征，可为矿区土壤肥力评价、生态修复效果监测及农业利用潜力分析提供可靠支撑。
", "ds_process_way": "有机质：采用重铬酸钾氧化油浴加热法（NY/T 1121.6-2006），该方法能够稳定测定土壤中可氧化有机质含量。
\n全氮：依据《土壤全氮的测定》（NY/T 53-1987），使用 KDY9820 定氮仪完成消解与定量。
\n全磷：依据《氢氧化钠融熔法》（NY/T 88-1988），采用紫外分光光度计进行定量。
\n全钾：依据《氢氧化钠融熔法》（NY/T 87-1988），使用 M410 型火焰光度计检测。
\n实验与数据处理流程
\n样品接收与编号：所有样品按顺序编号，确保唯一性与可追溯性。
\n前处理：样品风干、研磨、过筛，保证样品均一性。
\n指标检测：按照国家与行业标准操作规程进行实验，保证结果的科学性。
\n结果记录与校核：检测结果统一录入并经审核，数据表格化保存。
", "ds_quality": "本数据集包含 51 个连续编号的矿区土壤样品，所有样品均经过统一的实验流程检测，涵盖有机质、全氮、全磷和全钾四项关键养分指标，无缺失值或空白记录，保证了数据的完整性和可用性。检测方法均遵循国家或行业标准（如重铬酸钾氧化法、氢氧化钠融熔法、 定氮法等），并配合专业实验仪器完成，确保结果的科学性与一致性。所有样品在检测前均经过风干、研磨和过筛等规范化预处理，保证了代表性与均一性，且数据经实验室审核确认，避免了人为记录或转录误差。整体上，样品覆盖了矿区土壤在不同处理条件下的典型类型，能够较好地反映养分水平的差异性和空间变异特征，为土壤肥力评价与修复效果分析提供了可靠支撑。
", "ds_acq_start_time": "2024-08-01 00:00:00", "ds_acq_end_time": "2024-08-31 00:00:00", "ds_acq_place": "木里煤田七号坑", "ds_acq_lon_east": 99.31666666666666, "ds_acq_lat_south": 38.13333333333333, "ds_acq_lon_west": 99.18333333333334, "ds_acq_lat_north": 38.25, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "apply-access", "ds_total_size": 536759, "ds_files_count": 0, "ds_format": "*.docx", "ds_space_res": "", "ds_time_res": "日", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "a852e766-74b0-47dd-b257-504b78297db9.png", "ds_thumb_from": 0, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": "", "organization_id": "5b99d600-008a-4069-8fc3-7adb9c3f2f8b", "ds_serv_man": "孙新建", "ds_serv_phone": "13997064591", "ds_serv_mail": "sunxj@qhu.edu.cn", "doi_value": "", "subject_codes": [ "170.4599" ], "quality_level": 0, "publish_time": "2026-07-06 15:26:45", "last_updated": "2026-07-06 15:26:45", "protected": false, "protected_to": "2027-10-01 00:00:00", "lang": "zh", "cstr": "", "i18n": { "en": { "title": "Data set on soil nutrient content under different treatments of soil from Juhugeng No. 7 Well in Muli Kuangqu, Qinghai Province and Jiangcang Kuangqu (2024)", "ds_format": "*.docx", "ds_source": "The data in this dataset comes from sampling and testing of soil in mining areas under different processing conditions. The sampling points cover typical plots in the mining area, with a sample size of 51. These soil samples represent the differences in physical and chemical properties of the mining area soil under different treatment methods, covering undisturbed soil, treated soil under different remediation measures, and possible types of improved soil. After natural air drying, grinding, and sieving, the samples were subjected to nutrient content testing according to uniform standards. The testing focuses on key indicators of soil nutrient levels, including organic matter, total nitrogen, total phosphorus, and total potassium. The experimental methods are carried out in accordance with national or industry standards to ensure the scientific and comparable nature of the data. The data of each sample truly reflects the nutrient characteristics of the soil in the mining area under different treatment conditions, which can provide reliable support for soil fertility evaluation, ecological restoration effect monitoring, and agricultural utilization potential analysis in the mining area.
", "ds_quality": "This dataset contains 51 consecutive numbered soil samples from mining areas, all of which have been tested through a unified experimental process, covering four key nutrient indicators: organic matter, total nitrogen, total phosphorus, and total potassium. There are no missing values or blank records, ensuring the integrity and usability of the data. The detection methods follow national or industry standards (such as potassium dichromate oxidation method, sodium hydroxide melting method, nitrogen determination method, etc.), and are completed with professional experimental instruments to ensure the scientific and consistent results. All samples undergo standardized pretreatment such as air drying, grinding, and sieving before testing to ensure representativeness and uniformity. The data is also verified and confirmed by the laboratory to avoid human recording or transcription errors. Overall, the samples cover typical types of soil in the mining area under different treatment conditions, which can better reflect the differences in nutrient levels and spatial variability characteristics, providing reliable support for soil fertility evaluation and remediation effect analysis.
", "ds_ref_way": "", "ds_abstract": "This dataset is derived from the detection of soil nutrient status in mining areas, aiming to evaluate the differences in soil physicochemical properties under different treatment conditions. The dataset contains 51 consecutive numbered samples, and four key nutrient content indicators, including organic matter, total nitrogen, total phosphorus, and total potassium, were obtained through a unified experimental method. The results reflect the nutrient levels and differences of the soil in the mining area under different treatment conditions, providing a systematic basis for revealing the soil improvement effect and nutrient distribution pattern in the mining area.
", "ds_time_res": "", "ds_acq_place": "No. 7 Pit in Muli Coalfield", "ds_space_res": "", "ds_projection": "", "ds_process_way": "Organic matter: The potassium dichromate oxidation oil bath heating method (NY/T 1121.6-2006) is used, which can stably determine the content of oxidizable organic matter in soil.
", "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, "belong_to_nieer": false, "ds_topic_tags": [ "土壤理化性质", "土壤养分检测" ], "ds_subject_tags": [ "地理学其他学科" ], "ds_class_tags": [], "ds_locus_tags": [ "中国", "青海省", "天峻县", "木里煤田七号坑" ], "ds_time_tags": [ 2024 ], "ds_contributors": [ { "true_name": "孙新建", "email": "sunxj@qhu.edu.cn", "work_for": "青海大学", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "孙新建", "email": "sunxj@qhu.edu.cn", "work_for": "青海大学", "country": "中国" } ], "ds_managers": [ { "true_name": "孙新建", "email": "sunxj@qhu.edu.cn", "work_for": "青海大学", "country": "中国" } ], "category": "其他" }