本文介绍了青藏高原海拔0-5厘米范围内主要植被群落下采集的土壤碳同位素组成（δ13C）的大型数据集。样本的δ13C 值范围为 -28.26 至 -16.95‰，与森林（Forests）、灌木（Shrublands）、草原 （Grasslands）、和沙漠（Deserts） 等不同植被群落表现出明显的关系。
", "ds_source": "本研究使用的土壤样本主要采集青藏高原0-5厘米范围下的主要植被群落。", "ds_process_way": "
名为 \"TP_C13_1000m.tif \"的文件是使用随机森林方法预测的网格土壤碳同位素（δ13C）数据集。TP_beta_1000m.tif \"文件表示空间分辨率为 1000 米的计算 β 数据集，计算方法是 δ13C 除以对数换算的 SOC。
", "ds_quality": "数据质量良好。
", "ds_acq_start_time": null, "ds_acq_end_time": null, "ds_acq_place": "青藏高原", "ds_acq_lon_east": 104.67222222222223, "ds_acq_lat_south": 25.99361111111111, "ds_acq_lon_west": 73.49888888888889, "ds_acq_lat_north": 39.825833333333335, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 21204350, "ds_files_count": 4, "ds_format": "tiff", "ds_space_res": "1000", "ds_time_res": "", "ds_coordinate": "WGS84", "ds_projection": "", "ds_thumbnail": "5128391f-4e2f-451b-9035-df22ae4f65f2.png", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "a4dd5849-78f2-44c5-b0f1-3450e952b2a2", "ds_serv_man": "敏玉芳", "ds_serv_phone": "0931-4967596", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.45" ], "quality_level": 3, "publish_time": "2024-03-26 13:59:15", "last_updated": "2026-01-12 17:40:54", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.NCDC.FIGSHARE.DB6462.2024", "i18n": { "en": { "title": "Comprehensive dataset of soil carbon isotopes within the range of 0-5 centimeters on the Qinghai Tibet Plateau", "ds_format": "TIFF", "ds_source": "The soil samples used in this study were mainly collected from the main vegetation communities in the 0-5 cm range of the Qinghai Tibet Plateau.", "ds_quality": "
he data quality is good", "ds_ref_way": "", "ds_abstract": "
This article introduces a large dataset of soil carbon isotope composition (δ 13C) collected from major vegetation communities within an altitude range of 0-5 centimeters on the Qinghai Tibet Plateau. The range of δ 13C values for the samples is -28.26 to -16.95 ‰, showing significant relationships with different vegetation communities such as Forests, Shrublands, Grasslands, and Deserts.
", "ds_time_res": "", "ds_acq_place": "The Qinghai Tibet Plateau", "ds_space_res": "1000", "ds_projection": "", "ds_process_way": "The file named \"TP-C13_1000m. tif\" is a grid soil carbon isotope prediction using the random forest method（ δ 13C) Dataset. The TP_beta_1000m. tif file represents a calculation with a spatial resolution of 1000 meters β The calculation method for the dataset is δ 13C divided by logarithmic conversion of SOC", "ds_ref_instruction": "" } }, "submit_center_id": "ncdc", "data_level": 0, "license_type": "CC BY 4.0", "doi_reg_from": "reg_outside", "cstr_reg_from": "reg_outside", "doi_not_reg_reason": null, "cstr_not_reg_reason": null, "is_paper_in_submitting": false, "ds_topic_tags": [ "土壤碳同位素", "土壤碳周转率", "青藏高原", "土壤学" ], "ds_subject_tags": [ "地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "青藏高原" ], "ds_time_tags": [], "ds_contributors": [ { "true_name": " 唐晓鹿", "email": "lxtt2010@163.com", "work_for": "成都理工大学地质灾害防治与地质环境保护国家重点实验室", "country": "中国" } ], "ds_meta_authors": [ { "true_name": " 唐晓鹿", "email": "lxtt2010@163.com", "work_for": "成都理工大学地质灾害防治与地质环境保护国家重点实验室", "country": "中国" } ], "ds_managers": [ { "true_name": " 唐晓鹿", "email": "lxtt2010@163.com", "work_for": "成都理工大学地质灾害防治与地质环境保护国家重点实验室", "country": "中国" } ], "category": "其他" }