{
    "created": "2019-11-05 10:57:51",
    "updated": "2026-05-13 14:42:57",
    "id": "2bf2ccdf-abee-4ed0-9eea-25340c0d62a2",
    "version": null,
    "ds_topic": null,
    "title_cn": "2014年宁缠河1号冰川厚度数据集",
    "title_en": "Ningchanhe River Glacier No. 1 thickness data set in 2004",
    "ds_abstract": "<p>本数据集针对冷龙岭地区，主要为宁缠河1号冰川，冰下地形数据集包括控制点的序号、经度、纬度、厚度。数据集包含565条记录，主要利用GPR探地雷达，在冰川表面选取适当位置的横截面，通过实测获取的该横截面位置冰川厚度数据。数据集只针对2014年当年冰川厚度，故不进行补充和完善，采用协议共享。数据集包含控制点的序号、经度（单位：度(°)）、纬度（单位：度(°)）、高程（单位：米(m)，即当年冰川厚度）4个字段。数据集主要为当年实测资料，时间为2014年8月。空间基准为WGS84/EGM96，用探地雷达测量前，先进行雷达波速在冰川冰内传播速度的测量，并对探地雷达相关参数进行修改，确保获取对应冰川最精确的厚度数据。</p>",
    "ds_source": "<p>本数据集主要为实测数据，数据主要来源为GPR探地雷达。</p>",
    "ds_process_way": "<p>在数据实测中，利用GPR探地雷达，在冰川表面选取适当位置的横截面，通过实测，然后在软件中解算获取冰川厚度。</p>",
    "ds_quality": "<p>用探地雷达测量前，先进行雷达波速在冰川冰内传播速度的测量，并对探地雷达相关参数进行修改，确保获取对应冰川最精确的厚度数据。</p>",
    "ds_acq_start_time": "2014-08-01 00:00:00",
    "ds_acq_end_time": "2014-08-31 00:00:00",
    "ds_acq_place": "宁缠河1号冰川",
    "ds_acq_lon_east": 101.83999999999999,
    "ds_acq_lat_south": 37.5,
    "ds_acq_lon_west": 101.82,
    "ds_acq_lat_north": 37.519999999999996,
    "ds_acq_alt_low": null,
    "ds_acq_alt_high": null,
    "ds_share_type": "apply-access",
    "ds_total_size": 23260,
    "ds_files_count": 3,
    "ds_format": "TXT",
    "ds_space_res": "",
    "ds_time_res": "",
    "ds_coordinate": "WGS84",
    "ds_projection": "",
    "ds_thumbnail": "2bf2ccdf-abee-4ed0-9eea-25340c0d62a2.tif",
    "ds_thumb_from": 2,
    "ds_ref_way": "2014年宁缠河1号冰川厚度数据集来源于科技基础性工作专项“中国西部主要冰川作用中心冰量变化调查（2013FY111400）”。 引用方式：曹泊, 潘保田, 王杰， 等. 兰州大学. 2014年宁缠河1号冰川厚度数据集. 2019。曹泊, 王杰, 崔航，2014年宁缠河1号冰川厚度数据集，国家冰川冻土沙漠科学数据中心(www.ncdc.ac.cn)，2019，doi：10.12072/DIMaC.0005.2020.db",
    "paper_ref_way": "",
    "ds_ref_instruction": "数据产权属于兰州大学。数据具有一定保密性，共享方式采用协议共享，共享时间为1年。使用前需填写数据使用申请，并提交数据所有人审核，经数据所有人同意后，签订保密协议，方可使用数据，并且使用时需注明来源。本数据集可用文本软件打开查看，也可以导入地理信息系统软件进行图形可视化。",
    "ds_from_station": "中国西部主要冰川作用中心冰量变化调查",
    "organization_id": "75b2f6d5-c7ed-438c-b7be-98672c057ed5",
    "ds_serv_man": "李红星",
    "ds_serv_phone": "0931-4967592",
    "ds_serv_mail": "lihongxing@lzb.ac.cn",
    "doi_value": "",
    "subject_codes": null,
    "quality_level": 3,
    "publish_time": "2020-12-14 17:07:35",
    "last_updated": "2023-05-16 17:34:41",
    "protected": false,
    "protected_to": "2022-12-06 00:00:00",
    "lang": "zh",
    "cstr": "11738.11.ncdc.DIMaC.2020.144",
    "i18n": {
        "en": {
            "title": "Ningchanhe River Glacier No. 1 thickness data set in 2004",
            "ds_format": "",
            "ds_source": "<p>This data set is mainly measured data, and the main data source is GPR ground penetrating radar. </p>",
            "ds_quality": "<p>Before using ground penetrating radar (GPR), the propagation velocity of radar wave velocity in glacier ice is measured, and the parameters of GPR are modified to ensure the most accurate thickness data of corresponding glacier. </p>",
            "ds_ref_way": "\nThe 2014 ningtiaohe No.1 glacier thickness data set is derived from the scientific and technological basic work project \"survey of ice volume change in major glaciation centers in Western China (2013fy111400)\". Citation: Cao Po, pan Baotian, Wang Jie, et al. Lanzhou University. 2014 ningtiaohe glacier 1 thickness data set. 2019. Cao Po, Wang Jie, Cui hang, 2014 ningtiaohe glacier thickness data set, national glacier frozen soil desert scientific data center（ www.ncdc.ac.cn )，2019，doi：10.12072/DIMaC.0005.2020.db",
            "ds_abstract": "<p>This data set is aimed at Lenglongling area, mainly ningtiaohe Glacier No.1. The sub ice terrain data set includes the serial number, longitude, latitude and thickness of control points. The data set contains 565 records. GPR ground penetrating radar (GPR) is mainly used to select a suitable cross-section on the glacier surface, and the glacier thickness data at this cross-section position is obtained by actual measurement. The data set is only for the glacier thickness in 2014, so it is not supplemented and improved, and the protocol is used for sharing. The data set contains four fields: serial number, longitude (unit: Degree (°)), latitude (unit: Degree (°)) and elevation (unit: meter (m), that is, glacier thickness of the current year). The data set is mainly the measured data in August 2014. The spatial datum is WGS84 / EGM96. Before using GPR, the propagation velocity of radar wave velocity in glacier ice is measured, and the relevant parameters of GPR are modified to ensure the most accurate thickness data of corresponding glacier. </p>",
            "ds_time_res": "",
            "ds_acq_place": "Ningchanhe River Glacier No.1",
            "ds_space_res": "",
            "ds_projection": "",
            "ds_process_way": "<p>In the data measurement, GPR ground penetrating radar is used to select the appropriate cross-section on the glacier surface, and then the glacier thickness is calculated in the software. </p>",
            "ds_ref_instruction": "\nThe property right of data belongs to Lanzhou University. The data has a certain degree of confidentiality. The sharing mode is protocol sharing, and the sharing time is one year. Before using the data, fill in the data use application and submit it to the data owner for review. After the data owner agrees, the data can be used only after signing the confidentiality agreement, and the source should be indicated when using. This data set can be opened and viewed by text software or imported into GIS software for graphic visualization."
        }
    },
    "submit_center_id": "ncdc",
    "data_level": 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,
    "ds_topic_tags": [
        "GPR",
        "冰厚",
        "宁缠河1号冰川"
    ],
    "ds_subject_tags": [],
    "ds_class_tags": [],
    "ds_locus_tags": [
        "宁缠河1号冰川",
        "冷龙岭地区"
    ],
    "ds_time_tags": [
        2015
    ],
    "ds_contributors": [
        {
            "true_name": "曹泊",
            "email": "caobo@lzu.edu.cn",
            "work_for": "兰州大学",
            "country": ""
        },
        {
            "true_name": "王杰",
            "email": "",
            "work_for": "兰州大学",
            "country": ""
        },
        {
            "true_name": "崔航",
            "email": "",
            "work_for": "兰州大学",
            "country": ""
        }
    ],
    "ds_meta_authors": [
        {
            "true_name": "吴坤鹏",
            "email": "wukunpeng2008@lzb.ac.cn",
            "work_for": "云南大学国际河流与生态安全研究院",
            "country": "中国"
        }
    ],
    "ds_managers": [
        {
            "true_name": "曹泊",
            "email": "caobo@lzu.edu.cn",
            "work_for": "兰州大学",
            "country": ""
        }
    ],
    "category": "冰川"
}