本数据集记录了中国西北荒漠区不同地点深根豆科植物骆驼刺的根系生物量，用于分析骆驼刺地下生物量的区域差异及其在不同观测时期的变化。数据覆盖吐鲁番、托克逊、轮南、阿拉尔、红白山、策勒、民丰、且末、若羌、敦煌、双塔、哈密、鄯善、阜康和莫索湾共15个地点。每个地点设置3个重复，共包含45条样本记录。分别于第一年度4月和第二年度8月开展根系生物量测定，共获得89个有效测定值和1个缺失值。本数据集可用于研究骆驼刺根系生物量的空间变异、季节或年际变化，以及深根荒漠植物对不同区域环境条件的适应特征。\n
本数据集以Excel格式存储，包含1个有效数据工作表和45条样本记录。数据覆盖15个荒漠地区，每个地点包含3个重复。主要数据字段包括采样地点、第一年度4月根系生物量和第二年度8月根系生物量。数据表中共有89个有效根系生物量数值和1个缺失值。", "ds_source": "
数据来源于2024和2025的中国西北不同荒漠地区开展的骆驼刺野外调查与根系样品采集。调查地点包括吐鲁番、托克逊、轮南、阿拉尔、红白山、策勒、民丰、且末、若羌、敦煌、双塔、哈密、鄯善、阜康和莫索湾。在每个地点采集3个骆驼刺根系样本，并分别在两个观测时期测定根系生物量。根系样品按照统一的采样、清洗、干燥和称量流程进行处理，最终按照地点、观测时间和重复编号整理形成数据集。本数据集野外采样和根系生物量测定按照统一的研究方案和操作流程开展。", "ds_process_way": "
原始数据按照采样地点、观测时间和重复样本进行整理。每个地点包含3个重复。使用拼音首字母进行样地的命名。数据整理过程中统一了地点名称和数值格式，对缺失值、非数值字符、重复记录和异常值进行了检查。对于未获得测定结果的样本，统一采用NA表示。", "ds_quality": "
数据质量控制包括地点名称核查、重复数量检查、缺失值检查、数值范围检查和时间字段核查。缺失数据采用NA标记，并在数据说明中注明缺失原因。", "ds_acq_start_time": "2024-04-01 00:00:00", "ds_acq_end_time": "2025-08-29 00:00:00", "ds_acq_place": "中国西北荒漠区，包括吐鲁番、托克逊、轮南、阿拉尔、红白山、策勒、民丰、且末、若羌、敦煌、双塔、哈密、鄯善、阜康和莫索湾等15个骆驼刺自然种群样地。", "ds_acq_lon_east": 96.83333333333333, "ds_acq_lat_south": 35.5, "ds_acq_lon_west": 80.0, "ds_acq_lat_north": 45.833333333333336, "ds_acq_alt_low": -100.0, "ds_acq_alt_high": 2000.0, "ds_share_type": "apply-access", "ds_total_size": 13193, "ds_files_count": 0, "ds_format": "*.xlsx", "ds_space_res": "", "ds_time_res": "年", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "d666889b-dfe4-4755-b862-26275a08e17b.jpg", "ds_thumb_from": 0, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "c49c8ab1-d3df-4dd2-b84b-8709ba45d418", "ds_serv_man": null, "ds_serv_phone": null, "ds_serv_mail": null, "doi_value": "", "subject_codes": [ "170.45" ], "quality_level": 0, "publish_time": "2026-09-03 11:39:31", "last_updated": "2026-09-03 11:39:31", "protected": false, "protected_to": "2027-08-27 00:00:00", "lang": "zh", "cstr": "11738.11.ncdc.db7771.2026", "i18n": { "en": { "title": "A dataset of root biomass variation in Alhagi camelorum across desert regions of northwestern China (2024-2025)", "ds_format": "*.xlsx", "ds_source": "
The data comes from field surveys and root sample collection of Cami spina conducted in different desert areas in northwest China in 2024 and 2025. The survey locations include Turpan, Toksun, Lunnan, Aar, Hongbaishan, Cele, Minfeng, Qiemo, Ruoqiang, Dunhuang, Shuangta, Hami, Shanshan, Fukang and Mosuo Bay. Three alhagi root samples were collected at each location, and root biomass was measured during two observation periods. Root samples were processed according to a unified sampling, cleaning, drying and weighing process, and finally organized into a data set according to location, observation time and repeated numbering. Field sampling and root biomass measurement in this dataset were carried out in accordance with a unified research plan and operating process.", "ds_quality": "
Data quality control includes site name verification, duplicate quantity verification, missing value verification, numerical range verification, and time field verification. Missing data are labeled with NA and the reason for the missing is noted in the data description.", "ds_ref_way": "", "ds_abstract": "
This dataset records the root biomass of the deep-rooted legume species Alhagi at different locations in the desert area of northwest China, and is used to analyze regional differences in underground biomass of Alhagi and its changes during different observation periods. The data covers a total of 15 locations in Turpan, Toksun, Lunnan, Aar, Hongbaishan, Cele, Minfeng, Qiemo, Ruoqiang, Dunhuang, Shuangta, Hami, Shanshan, Fukang and Mosuo Bay. Three replicates were set up for each location, containing a total of 45 sample records. Root biomass measurements were carried out in April of the first year and August of the second year respectively, and a total of 89 effective measured values and 1 missing value were obtained. This dataset can be used to study the spatial variability, seasonal or inter-annual changes in the root biomass of Alhagi, as well as the adaptation characteristics of deep-rooted desert plants to different regional environmental conditions.\r\n
This dataset is stored in Excel format and contains 1 valid data worksheet and 45 sample records. The data covers 15 desert areas, with each location containing 3 duplicates. The main data fields include sampling location, root biomass in April of the first year and root biomass in August of the second year. There are 89 effective root biomass values and 1 missing value in the data table.", "ds_time_res": "", "ds_acq_place": "The northwest desert area of China includes 15 camel thorn natural population samples including Turpan, Toksun, Lunnan, Aar, Hongbaishan, Cele, Minfeng, Qiemo, Ruoqiang, Dunhuang, Shuangta, Hami, Shanshan, Fukang and Mosuowan.", "ds_space_res": "", "ds_projection": "", "ds_process_way": "
The raw data is organized according to the sampling location, observation time and duplicate samples. Each location contains 3 duplicates. Use pinyin initials to name sample sites. During the data collation process, the location names and numerical formats were unified, and missing values, non-numerical characters, duplicate records and abnormal values were checked. For samples for which no determination results were obtained, NA was uniformly used.", "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": [ "荒漠豆科植物", "骆驼刺", "生物量", "根系" ], "ds_subject_tags": [ "地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "干旱区", "吐鲁番", "托克逊", "策勒", "阜康", "哈密" ], "ds_time_tags": [ 2024, 2025 ], "ds_contributors": [ { "true_name": "张波", "email": "zhangbo@ms.xjb.ac.cn", "work_for": "中国科学院新疆生态与地理研究所", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "曾凡江", "email": "zengfj@ms.xjb.ac.cn", "work_for": "中国科学院新疆生态与地理研究所", "country": "中国" } ], "ds_managers": [ { "true_name": "曾凡江", "email": "zengfj@ms.xjb.ac.cn", "work_for": "中国科学院新疆生态与地理研究所", "country": "中国" } ], "category": "生态" }