本数据集配套论文《中国高分辨率土壤微观结构、地形特征与物理属性综合数据集》。本研究构建一套全新三维土壤微观结构数据集（CHARM3D），整合全国土壤高分辨率成像数据与完整拓扑、物理属性实测数据，实现土壤形态参数定量表征。\n
研究依托中国生态系统研究网络（CERN）布设 30 个采样点位，覆盖森林、草地、荒漠、农田、湿地、湖泊六大典型生态系统；共采集 120 份涵盖不同土纲类型的土壤样品，采用高精度 X 射线计算机断层扫描（XCT）完成三维重构，并借助 ImageJ、Avizo 专业软件开展精细化图像处理。\n
数据集包含两类形态参数：一类用于刻画孔隙网络几何形态的拓扑特征参数，另一类与土壤功能密切相关的物理参数（以渗透性、连通性为核心）。其中，依托 ImageJ 结合孔隙网络分析提取拓扑指标，通过孔隙尺度数值模拟计算与渗透性能相关的连通性指标。\n
针对六大生态系统典型土壤样本开展实例分析，结果表明该数据集可为土壤溶质反应运移模拟提供关键基础参数（孔隙连通性、渗透率、孔隙度分布等），同时可定量揭示土壤团聚结构对流体运移过程的影响。该数据集能够清晰反映不同生态系统下土壤结构分异规律，是区域尺度土壤水力模型校准的核心支撑数据。数据集概况及完整技术说明详见配套文档 CHARM3D_Meta_Data.pdf。", "ds_source": "", "ds_process_way": "", "ds_quality": "", "ds_acq_start_time": null, "ds_acq_end_time": null, "ds_acq_place": "中国", "ds_acq_lon_east": null, "ds_acq_lat_south": null, "ds_acq_lon_west": null, "ds_acq_lat_north": null, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "open-access", "ds_total_size": 48149753657, "ds_files_count": 4, "ds_format": "*.tif", "ds_space_res": "", "ds_time_res": "", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "59f77d6b-4a18-48f8-ab3d-cdcc9299680c.png", "ds_thumb_from": 0, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "0a4269e1-65f4-45f1-aeba-88ea3068eebf", "ds_serv_man": null, "ds_serv_phone": null, "ds_serv_mail": null, "doi_value": "", "subject_codes": [ "170.4510" ], "quality_level": 0, "publish_time": "2026-07-13 09:11:20", "last_updated": "2026-07-13 10:06:47", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.soil.db7639.2026", "i18n": { "en": { "title": "A comprehensive China soil dataset of high-resolution microstructure, topographical characteristics and physical properties", "ds_format": "*.tif", "ds_source": "", "ds_quality": "", "ds_ref_way": "", "ds_abstract": "
Dataset accompanying the publication \" A comprehensive China soil dataset of high-resolution microstructure, topographical characteristics and physical properties\". In this study, we present a novel 3D soil microstructure dataset that integrates high-resolution imaging data of soils across China (CHARM3D) with comprehensive measurements of topological and physical properties to quantitatively characterize soil morphological parameters. Thirty sampling sites were selected within the Chinese Ecosystem Research Network (CERN), including six major ecosystems: forests, grasslands, deserts, agricultural lands, wetlands, and lakes. A total of 120 soil samples representing diverse soil orders were collected, reconstructed using high-resolution X-ray computed tomography (XCT), and analyzed with advanced image processing techniques via ImageJ and Avizo software. Morphological parameters are consisted of topological characteristics that describe the geometry of pore networks, and physical parameters associated with soil functions, particularly permeability and connectivity. Topological features were extracted using ImageJ combined with pore network analysis, whereas permeability-related connectivity was simulated through pore-scale modeling. A case study analyzing representative soil samples from the six ecosystems demonstrates the usefulness of the dataset in providing key parameters for reactive transport modeling in soils, such as pore connectivity, permeability, porosity distribution, as well as in characterizing the impact of soil aggregation on flow transport. This dataset provides valuable insights into soil structure variation across ecosystems and serves as a critical resource for calibrating soil hydraulic models in regional studies. An overview of the dataset as well as further technical details are provided in the CHARM3D_Meta_Data.pdf file.", "ds_time_res": "", "ds_acq_place": "China", "ds_space_res": "", "ds_projection": "", "ds_process_way": "", "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, "allow_update_data": false, "ds_topic_tags": [ "土壤属性", "土壤微观结构", "土壤地形特征", "X 射线计算机断层扫描", "颗粒有机质" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "中国" ], "ds_time_tags": [ 2026 ], "ds_contributors": [ { "true_name": "杨晓帆", "email": "xfyang@bnu.edu.cn", "work_for": "北京师范大学地理科学学部", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "杨晓帆", "email": "xfyang@bnu.edu.cn", "work_for": "北京师范大学地理科学学部", "country": "中国" } ], "ds_managers": [ { "true_name": "杨晓帆", "email": "xfyang@bnu.edu.cn", "work_for": "北京师范大学地理科学学部", "country": "中国" } ], "category": "生态" }