土壤温度以及湿度是区域水循环过程分析、土壤水源涵养功能评估及冻土活动层变化研究的重要指标。本研究利用智能环境监测站获取土壤表层5cm以及深层80cm处的土壤温度、湿度数据，结合降水、风速等辅助数据源。该数据具有以下优势：连续性强、精度高，检测时间覆盖 2023年12月至2024年12月。
\n数据缺失系因设备测量过程中出现异常值，已根据数据质量控制标准进行剔除。", "ds_source": "
本研究所用土壤温度以及土壤湿度数据由智能环境监测获取。该传感器温度监测范围为 −30℃ 至+70℃，精度 ±0.3℃，分辨率 0.1℃；土壤湿度监测范围为0至100%，精度±3%，分辨率0.1%，监测时间覆盖 2023 年12 月至 2024年12月。该数据具备连续性强、精度高的优势，为研究区水源涵养过程的定量分析和时序监测提供了可靠支撑。
", "ds_process_way": "本研究选取智能环境监测站的土壤温度以及土壤湿度，按照日尺度进行处理。具体方法为：以每天观测数据中的平均值作为代表指标，构建日变化序列。在此基础上，绘制土壤温度以及湿度的时序趋势图，并结合不同时间段的波动特征进行分析。该方法能够有效反映研究区土壤温度以及湿度的日变化规律与长期变化趋势。
", "ds_quality": "在数据采集过程中，传感器具备自动化和实时化特征，保证了观测的连续性与稳定性。为确保数据质量，本研究对原始观测值进行了异常值剔除处理。总体而言，数据具有较高的精度与可靠性，可满足后续水源涵养过程分析的需要。
", "ds_acq_start_time": "2023-08-01 00:00:00", "ds_acq_end_time": "2025-05-14 00:00:00", "ds_acq_place": "木里煤田七号坑", "ds_acq_lon_east": 99.35, "ds_acq_lat_south": 38.166666666666664, "ds_acq_lon_west": 99.18333333333334, "ds_acq_lat_north": 38.266666666666666, "ds_acq_alt_low": 4100.0, "ds_acq_alt_high": 4100.0, "ds_share_type": "apply-access", "ds_total_size": 1687396, "ds_files_count": 0, "ds_format": "*.xlsx", "ds_space_res": "", "ds_time_res": "日", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "8c913678-a243-492b-92cc-283fbfed20fc.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": "李润杰", "ds_serv_phone": "19899713427", "ds_serv_mail": "648001297@qq.com", "doi_value": "", "subject_codes": [ "170.45" ], "quality_level": 0, "publish_time": "2026-07-06 11:59:16", "last_updated": "2026-07-06 11:59:16", "protected": false, "protected_to": "2027-10-01 00:00:00", "lang": "zh", "cstr": "", "i18n": { "en": { "title": "Soil temperature and humidity data set under different soil ecological restoration in Juhugeng No. 7 Well in Muli Kuangqu, Qinghai Province (2024)", "ds_format": "*.xlsx", "ds_source": "The soil temperature and soil moisture data used in this study were obtained through intelligent environmental monitoring. The temperature monitoring range of this sensor is -30 ℃ to+70 ℃, with an accuracy of ± 0.3 ℃ and a resolution of 0.1 ℃; The monitoring range of soil moisture is from 0 to 100%, with an accuracy of ± 3% and a resolution of 0.1%. The monitoring period covers from December 2023 to December 2024. This data has the advantages of strong continuity and high accuracy, providing reliable support for quantitative analysis and temporal monitoring of water conservation processes in the study area.
", "ds_quality": "During the data collection process, sensors have automated and real-time features, ensuring the continuity and stability of observations. To ensure data quality, this study performed outlier removal on the original observed values. Overall, the data has high accuracy and reliability, which can meet the needs of subsequent analysis of water source conservation processes.
", "ds_ref_way": "", "ds_abstract": "Soil temperature and moisture are important indexes for analyzing regional water cycle process, evaluating soil water conservation function and studying changes of frozen soil active layer. In this study, intelligent environmental monitoring stations were used to obtain soil temperature and humidity data at the top 5cm and the bottom 80cm, combined with auxiliary data sources such as precipitation and wind speed. This data has the following advantages: strong continuity, high accuracy, and detection time covering December 2023 to December 2024.
\r\nMissing data is due to outliers in equipment measurements, which have been excluded according to data quality control criteria.", "ds_time_res": "", "ds_acq_place": "No. 7 Pit in Muli Coalfield", "ds_space_res": "", "ds_projection": "", "ds_process_way": "
This study selected soil temperature and soil moisture from intelligent environmental monitoring stations and processed them on a daily scale. The specific method is to use the average value of daily observation data as a representative indicator to construct a daily variation sequence. On this basis, draw a time-series trend chart of soil temperature and humidity, and analyze the fluctuation characteristics of different time periods. This method can effectively reflect the daily and long-term variation patterns of soil temperature and humidity in the study area.
", "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": [ "土壤温度" ], "ds_subject_tags": [ "地理学" ], "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": "李润杰", "email": "648001297@qq.com", "work_for": "青海大学", "country": "中国" }, { "true_name": "朱元涛", "email": "1303034926@qq.com", "work_for": "青海大学", "country": "中国" }, { "true_name": "黄文德", "email": "453176135@qq.com", "work_for": "青海大学", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "李润杰", "email": "648001297@qq.com", "work_for": "青海大学", "country": "中国" } ], "ds_managers": [ { "true_name": "李润杰", "email": "648001297@qq.com", "work_for": "青海大学", "country": "中国" } ], "category": "其他" }