本数据集汇集了多年冻土区地下冰及不同地表类型土壤样品的碳氮组分数据，包括HDS06和HDS01两个采样点，共29个样品、325个数据值。其中，HDS06采样点包含不同采样层位的12个地下冰样品，收录总碳（TC）、总有机碳（TOC）和无机碳（IC）3项指标，共36个数据值；HDS01采样点包含17个土壤样品，涵盖冻胀草丘、平坦草甸、裸露区、土筏、滑塌区、边缘区和控制区，每个样品收录8项碳指标和9项氮指标，共289个数据值。数据以Excel格式存储，计量单位为g/kg或mg/kg，可为研究多年冻土区地下冰碳含量及滑塌扰动相关的碳氮变化提供基础数据。\n
本数据集包含两个采样点的多年冻土区样品数据，共计325个数据值。第一采样点位于东经100.7155°、北纬37.44687°，样品编号均以HDS06为前缀，以10 cm或者20 cm为间隔采集地下冰样品，测定其总碳、有机碳和无机碳含量，共获得36个数据值。第二采样点位于东经100.7065°、北纬37.46294°，共采集17个样品，样品编号均以HDS01为前缀，其中P0包含2个样品，P1—P3各包含5个样品。每个样品测定17项碳氮指标，包括8项碳指标和9项氮指标，共获得289个数据值，计量单位为g/kg或mg/kg。", "ds_source": "
本数据集来源于多年冻土区两个采样点的野外样品采集与实验室分析。第一采样点位于东经100.7155°、北纬37.44687°，以10 cm或者20 cm为间隔采集地下冰样品，获取总碳、有机碳和无机碳含量数据。第二采样点位于东经100.7065°、北纬37.46294°，共采集17个土壤样品，样品编号均以HDS01为前缀，其中P0包含2个样品，P1—P3各包含5个样品。未发生滑塌区域采集冻胀草丘和平坦草甸样品，滑塌区域及其周边采集裸露区、土筏、滑塌区、边缘区和对照区样品，其中对照区位于距边缘区20 m的未受滑塌影响地带。\n
土壤样品根据测定项目采用相应的前处理方式：用于部分碳组分分析的样品去除可见根系和碎石后自然风干，并过2 mm筛备用；铵态氮和硝态氮采用新鲜土样提取测定。总碳、总有机碳和无机碳采用固体样品模块（SSM-5000A，Shimadzu）测定；溶解性有机碳经提取和0.45 μm滤膜过滤后，采用TOC分析仪（TOC-VCPH，Shimadzu）测定；颗粒有机碳和矿物结合态有机碳通过53 μm筛分分离后测定；铁结合态有机碳采用柠檬酸盐—碳酸氢盐—连二亚硫酸盐提取法确定。总氮采用凯氏定氮法测定，铵态氮和硝态氮经KCl溶液提取后采用连续流动分析仪测定，其他相关组分采用酸水解、蒸汽蒸馏及氯仿熏蒸等方法获取。", "ds_process_way": "
实验测定结果按采样点和样品编号分类汇总为Excel属性数据表。地下冰数据按照采样顺序整理，将各样品的总碳、有机碳和无机碳测定值对应存储；土壤数据以样品编号（sample ID）为唯一标识，关联同一样品的17项碳氮指标。数据整理过程中核对样品编号、字段名称、指标单位、记录完整性和数值类型，保留原始测定值及相应单位。其中，土壤指标中的微生物量碳（MBC）、微生物量氮（MBN）、硝态氮（NO3--N）和铵态氮（NH4+-N）采用mg/kg，其余13项指标采用g/kg；铁结合态有机碳根据处理组与对照组固体残留物的碳含量差异计算。两个采样点的数据分类汇总后，共形成325个数据值。", "ds_quality": "
本数据集包含29个样品，样品编号均唯一，共收录325个指标数据值，均为数值型 。其中，HDS01采样点17个样品的17项碳氮指标记录完整，共289个数据值；HDS06采样点12个样品的总碳、总有机碳和无机碳指标记录完整，共36个数据值。HDS06样品的其他指标未在本数据集中收录，相应字段保留为空，不代表零值。各指标计量单位均在字段名称中标明，数据完整性按照不同类型样品实际收录的指标分别评价。", "ds_acq_start_time": null, "ds_acq_end_time": null, "ds_acq_place": "HDS01样品采集于2024-12-9；HDS06样品采集于2019-5", "ds_acq_lon_east": 100.71666666666667, "ds_acq_lat_south": 37.44611111111111, "ds_acq_lon_west": 100.7, "ds_acq_lat_north": 37.46611111111111, "ds_acq_alt_low": 3574.0, "ds_acq_alt_high": 3633.0, "ds_share_type": "apply-access", "ds_total_size": 15260, "ds_files_count": 2, "ds_format": "*.xlsx", "ds_space_res": "", "ds_time_res": "日", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "3ae1e93a-9c2c-4d44-b659-7075e86c1931.png", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "e7579b46-aade-4090-80a4-cbf0d8a8eb69", "ds_serv_man": null, "ds_serv_phone": null, "ds_serv_mail": null, "doi_value": "", "subject_codes": [ "170.4510" ], "quality_level": 0, "publish_time": "2026-10-12 16:56:30", "last_updated": "2026-10-12 16:59:26", "protected": false, "protected_to": "2028-09-18 00:00:00", "lang": "zh", "cstr": "11738.11.ncdc.db7829.2026", "i18n": { "en": { "title": "Carbon and Nitrogen Dataset for Permafrost Ground Ice and Associated Samples", "ds_format": "", "ds_source": "
This dataset is derived from field sample collection and laboratory analysis at two sampling sites in permafrost regions. The first sampling point is located at 100.7155° East longitude and 37.44687° North latitude. Underground ice samples are collected at intervals of 10 cm or 20 cm to obtain total carbon, organic carbon and inorganic carbon content data. The second sampling point was located at 100.7065° E and 37.46294° N. A total of 17 soil samples were collected. The sample numbers were prefixed with HDS01, of which P0 contained 2 samples and P1-P3 contained 5 samples each. Samples were collected from frost heaving grass mound and flat meadow in non-slumping area, bare area, soil raft, slumping area, marginal area and control area in slumping area and its periphery, and the control area was located in the unaffected area 20 m away from the marginal area.\r\n
Soil samples are pretreated according to the measurement items: samples used for partial carbon component analysis are naturally air-dried after removing visible roots and gravel, and passed through a 2 mm sieve for later use; ammonium nitrogen and nitrate nitrogen are extracted and determined using fresh soil samples. Total carbon, total organic carbon and inorganic carbon were measured using a solid sample module (SSM-5000A, Shimadzu); dissolved organic carbon was extracted and filtered by a 0.45 μm filter membrane, and then measured using a TOC analyzer (TOC-VCPH, Shimadzu); particulate organic carbon and mineral-bound organic carbon were measured after being separated by 53 μm sieving; iron-bound organic carbon was determined using the citrate-bicarbonate-dithionite extraction method. Total nitrogen is determined by the Kjeldahl method. Ammonium nitrogen and nitrate nitrogen are extracted with KCl solution and determined by a continuous flow analyzer. Other related components are obtained by acid hydrolysis, steam distillation and chloroform fumigation.", "ds_quality": "
This dataset contains 29 samples, all with unique sample numbers, and a total of 325 indicator data values are included, all of which are numerical. Among them, 17 carbon and nitrogen indicators of 17 samples from the HDS01 sampling point were completely recorded, with a total of 289 data values; the total carbon, total organic carbon and inorganic carbon indicators of 12 samples from the HDS06 sampling point were completely recorded, with a total of 36 data values. Other indicators of HDS06 samples are not included in this dataset, and the corresponding fields are left blank and do not represent zero values. The unit of measurement for each indicator is marked in the field name, and the data integrity is evaluated separately according to the indicators actually included in different types of samples.", "ds_ref_way": "", "ds_abstract": "
This dataset collects carbon and nitrogen composition data from underground ice and different surface types soil samples in permafrost areas, including two sampling points: HDS06 and HDS01, with a total of 29 samples and 325 data values. Among them, the HDS06 sampling point contains 12 underground ice samples at different sampling levels, and contains 3 indicators: total carbon (TC), total organic carbon (TOC) and inorganic carbon (IC), with a total of 36 data values; The HDS01 sampling point contains 17 soil samples, covering frost-heaving grass mounds, flat meadows, exposed areas, soil rafts, slumping areas, marginal areas and control areas. Each sample contains 8 carbon indicators and 9 nitrogen indicators, with a total of 289 data values. The data is stored in Excel format and the unit of measurement is g/kg or mg/kg, which can provide basic data for studying the carbon content of underground ice in permafrost areas and the carbon and nitrogen changes related to slumping disturbances.\r\n
This dataset contains sample data from permafrost areas from two sampling points, with a total of 325 data values. The first sampling point is located at 100.7155° east longitude and 37.44687° north latitude. Underground ice samples are collected at intervals of 10 cm or 20 cm to measure their total carbon, organic carbon and inorganic carbon contents, and a total of 36 data values are obtained. The second sampling point is located at 100.7065° east longitude and 37.46294° north latitude. A total of 17 samples were collected. The sample numbers are all prefixed with HDS01. Among them, P0 contains 2 samples, and P1-P3 each contains 5 samples. 17 carbon and nitrogen indicators were measured for each sample, including 8 carbon indicators and 9 nitrogen indicators, and a total of 289 data values were obtained, with the unit of measurement being g/kg or mg/kg.", "ds_time_res": "", "ds_acq_place": "HSDS01 samples were collected on December 9, 2024; HSDS06 samples were collected on May 2019", "ds_space_res": "", "ds_projection": "", "ds_process_way": "
The experimental measurement results are classified and summarized into an Excel attribute data table by sampling point and sample number. The underground ice data is sorted out according to the sampling order, and the total carbon, organic carbon and inorganic carbon measured values of each sample are stored correspondingly; the soil data is uniquely identified by the sample ID and is associated with 17 carbon and nitrogen indicators of the same sample. During the data collation process, check the sample number, field name, indicator unit, record integrity and value type, and retain the original measured values and corresponding units. Among them, microbial biomass carbon (MBC), microbial biomass nitrogen (MBN), nitrate nitrogen (NO3--N) and ammonium nitrogen (NH4 +-N) in soil indicators are used in mg/kg, and the remaining 13 indicators are used in g/kg; iron-bound organic carbon is calculated based on the difference in carbon content of solid residues between the treatment group and the control group. After classifying and summarizing the data from the two sampling points, a total of 325 data values were formed.", "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, "created_from": "admin", "ds_topic_tags": [ "多年冻土", "冻土滑塌", "碳组分", "氮组分" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "HDS01采样区", "HDS06采样区", "青藏高原" ], "ds_time_tags": [ 2019, 2024 ], "ds_contributors": [ { "true_name": "张玉兰", "email": "yulan.zhang@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" }, { "true_name": "高坛光", "email": "gaotg@lzu.edu.cn", "work_for": "兰州大学", "country": "中国" }, { "true_name": "张鸿宇", "email": "zhanghongyu24@mails.ucas.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "张玉兰", "email": "yulan.zhang@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" }, { "true_name": "高坛光", "email": "gaotg@lzu.edu.cn", "work_for": "兰州大学", "country": "中国" }, { "true_name": "张鸿宇", "email": "zhanghongyu24@mails.ucas.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" } ], "ds_managers": [ { "true_name": "张玉兰", "email": "yulan.zhang@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" }, { "true_name": "高坛光", "email": "gaotg@lzu.edu.cn", "work_for": "兰州大学", "country": "中国" }, { "true_name": "张鸿宇", "email": "zhanghongyu24@mails.ucas.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" } ], "category": "冻土" }