{
    "created": "2026-03-13 13:48:22",
    "updated": "2026-06-21 18:20:47",
    "id": "a05c33a6-f32f-48f0-832d-d517d139fa4f",
    "version": 4,
    "ds_topic": null,
    "title_cn": "北极冻土区微生物和氮转化速率数据集（2014年）",
    "title_en": "A data set for Microorganisms and Nitrogen Transformation Rates in the Arctic Permafrost Region, 2014",
    "ds_abstract": "<p>&emsp;&emsp;本数据集聚焦北极 Ny-Ålesund 地区（78°55′N,11°56′E，位于斯瓦尔巴群岛的斯匹次卑尔根岛）及北极其他地点，系统收录了苔原土壤与底栖沉积物的理化性质、氮转化相关微生物基因丰度、氨氧化微生物群落结构、氨氧化微生物活性、氮转化功能基因及微生物群落组成等多维度数据。数据通过野外采样、实验室测试分析等方式获取，结合 15N 同位素标记法等技术，全面反映了受冰川排放影响下北极地区微生物群落分布与氮循环过程的关联，为研究北极生态系统物质循环与全球气候变化响应提供基础数据支撑，数据以 Excel 表格形式存储，便于后续数据挖掘与科学研究。",
    "ds_source": "<p>&emsp;&emsp;自主产生：Ny-Ålesund 地区及北极其他地点的土壤与沉积物样本均为研究团队野外自主采集，采样遵循《极地科学考察样品采集规范》；测试分析数据：理化性质采用元素分析仪、pH 计等仪器测定，基因数据通过高通量测序技术获取，微生物活性通过底物添加与化学检测法测定，数据精度符合实验室分析标准，适用范围为北极苔原与峡湾生态系统研究。",
    "ds_process_way": "<p>&emsp;&emsp;1.数据采集方法\n<p>&emsp;&emsp;野外采样：使用无菌采样器采集 0-10cm 表层土壤或沉积物样本，每个站点设置 3 次重复，混合后用于分析，采样过程记录海拔、温度等环境参数；\n<p>&emsp;&emsp;理化性质测定：pH 采用 pH 计（精度 ±0.01）测定，TC、TN 用元素分析仪测定，NH₄⁺-N、NO₃⁻-N、NO₂⁻-N 用流动注射分析仪测定，金属元素用电感耦合等离子体质谱仪测定；\n<p>&emsp;&emsp;基因丰度与群落测定：采用实时荧光定量 PCR 测定基因丰度，采用 Illumina 高通量测序技术测定 16S rRNA 基因与功能基因序列，测序平台为 Illumina MiSeq；\n<p>&emsp;&emsp;微生物活性测定：通过设置不同底物添加处理组（仅 NH₄⁺、NH₄⁺+KClO3、NH₄⁺+KClO3+1 - 辛炔），培养 0-3 天后，测定亚硝酸盐与硝酸盐浓度变化，计算氨氧化速率。\n<p>&emsp;&emsp;2.加工处理方法\n<p>&emsp;&emsp;测序数据处理：使用 QIIME 软件对原始测序数据进行质量过滤、OTU 聚类（97% 相似度）与物种注释，参考数据库为 Silva 数据库。",
    "ds_quality": "<p>&emsp;&emsp;活性数据处理：对同一处理组、同一时间点的重复测试数据取平均值，剔除异常值（偏离平均值 ±3 倍标准差的数据）；\n<p>&emsp;&emsp;误差控制：所有实验均设置 3 次技术重复，确保数据重复性；仪器定期校准（如 pH 计、元素分析仪），试剂采用优级纯，减少系统误差。",
    "ds_acq_start_time": "2014-07-01 00:00:00",
    "ds_acq_end_time": "2014-08-31 00:00:00",
    "ds_acq_place": "北极,斯瓦尔巴群岛",
    "ds_acq_lon_east": 79.0,
    "ds_acq_lat_south": 11.83,
    "ds_acq_lon_west": 78.83,
    "ds_acq_lat_north": 12.0,
    "ds_acq_alt_low": null,
    "ds_acq_alt_high": null,
    "ds_share_type": "login-access",
    "ds_total_size": 3067776,
    "ds_files_count": 2,
    "ds_format": "*.xlsx",
    "ds_space_res": "",
    "ds_time_res": "",
    "ds_coordinate": "无",
    "ds_projection": "",
    "ds_thumbnail": "a05c33a6-f32f-48f0-832d-d517d139fa4f.png",
    "ds_thumb_from": 2,
    "ds_ref_way": "",
    "paper_ref_way": "",
    "ds_ref_instruction": "",
    "ds_from_station": null,
    "organization_id": "53943799-d453-4bf2-a141-56c205c1355b",
    "ds_serv_man": "李红星",
    "ds_serv_phone": "0931-4967592",
    "ds_serv_mail": "ncdc@lzb.ac.cn",
    "doi_value": "",
    "subject_codes": [
        "170.99"
    ],
    "quality_level": 0,
    "publish_time": "2026-05-07 15:24:32",
    "last_updated": "2026-05-13 16:17:34",
    "protected": false,
    "protected_to": null,
    "lang": "zh",
    "cstr": "11738.11.NCDC.ARCTIC-CHANGE.DB7140.2026",
    "i18n": {
        "en": {
            "title": "A data set for Microorganisms and Nitrogen Transformation Rates in the Arctic Permafrost Region, 2014",
            "ds_format": "*.xlsx",
            "ds_source": "<p>&emsp;Self-collected: Soil and sediment samples from the Ny-Ålesund region and other Arctic locations were independently collected by the research team in the field, adhering to the “Polar Scientific Research Sample Collection Specifications”; Testing and Analysis Data: Physicochemical properties were determined using instruments such as elemental analyzers and pH meters. Genetic data were obtained through high-throughput sequencing technology. Microbial activity was measured via substrate addition and chemical detection methods. Data accuracy complies with laboratory analysis standards and is applicable to research on Arctic tundra and fjord ecosystems.",
            "ds_quality": "<p>&emsp;Active Data Processing: Calculate the average of repeated test data within the same treatment group and at the same time point, excluding outliers (data deviating from the mean by ±3 standard deviations);\r\n<p>&emsp;Error Control: All experiments include 3 technical replicates to ensure data reproducibility; Instruments undergo regular calibration (e.g., pH meters, elemental analyzers), and reagents are of high-purity grade to minimize systematic errors.",
            "ds_ref_way": "",
            "ds_abstract": "<p>&emsp;This dataset focuses on the Arctic region of Ny-Ålesund (78°55′N, 11°56′E, located on Spitsbergen Island in Svalbard) and other Arctic locations. It systematically documents multidimensional data encompassing the physicochemical properties of tundra soils and benthic sediments, microbial gene abundance related to nitrogen transformation, ammonia-oxidizing microbial community structure, ammonia-oxidizing microbial activity, functional genes for nitrogen transformation, and microbial community composition. Data acquisition involved field sampling and laboratory testing, incorporating techniques such as 15N isotope labeling. This comprehensive approach reveals the relationship between microbial community distribution and nitrogen cycling processes in the Arctic region influenced by glacial discharge. The dataset provides foundational support for studying material cycles in Arctic ecosystems and their response to global climate change. Stored in Excel format, the data facilitates subsequent data mining and scientific research.",
            "ds_time_res": "",
            "ds_acq_place": "Arctic, Ny-Ålesund",
            "ds_space_res": "",
            "ds_projection": "",
            "ds_process_way": "<p>&emsp;1. Data Collection Methods\r\n<p>&emsp;Field Sampling: Collect 0–10 cm surface soil or sediment samples using sterile samplers. Perform three replicates per site, mix samples for analysis, and record environmental parameters such as elevation and temperature during sampling.\r\n<p>&emsp;Physicochemical Property Determination: pH measured using a pH meter (accuracy ±0.01); TC and TN determined by elemental analyzer; NH₄⁺-N, NO₃⁻-N, and NO₂⁻-N measured by flow injection analyzer; metal elements analyzed by inductively coupled plasma mass spectrometry;\r\n<p>&emsp;Gene Abundance and Community Analysis: Gene abundance was quantified via real-time quantitative PCR. 16S rRNA and functional gene sequences were determined using Illumina high-throughput sequencing technology on the Illumina MiSeq platform;\r\n<p>&emsp;Microbial activity assessment: Nitrite and nitrate concentration changes were measured after 0–3 days of cultivation across different substrate addition treatments (NH₄⁺ only, NH₄⁺+KClO₃, NH₄⁺+KClO₃+1-octyne), and ammonium oxidation rates were calculated.\r\n<p>&emsp;2. Processing Methods\r\n<p>&emsp;Sequencing Data Processing: Raw sequencing data underwent quality filtering, OTU clustering (97% similarity), and species annotation using QIIME software, with the Silva database as the reference.",
            "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": [
        "北极",
        "Ny-Ålesund",
        "微生物",
        "氮循环",
        "氨氧化",
        "活性"
    ],
    "ds_subject_tags": [
        "地球科学其他学科"
    ],
    "ds_class_tags": [],
    "ds_locus_tags": [
        "北极",
        "Ny-Ålesund"
    ],
    "ds_time_tags": [
        2014
    ],
    "ds_contributors": [
        {
            "true_name": "朱仁斌",
            "email": "zhurb@ustc.edu.cn",
            "work_for": "中国科学技术大学",
            "country": "中国"
        }
    ],
    "ds_meta_authors": [
        {
            "true_name": "朱仁斌",
            "email": "zhurb@ustc.edu.cn",
            "work_for": "中国科学技术大学",
            "country": "中国"
        }
    ],
    "ds_managers": [
        {
            "true_name": "郭梦捷",
            "email": "guomj@mail.ustc.edu.cn",
            "work_for": "中国科学技术大学",
            "country": "中国"
        }
    ],
    "category": "极地"
}