{
    "created": "2018-03-20 02:00:11",
    "updated": "2026-06-15 15:08:30",
    "id": "e02a4058-b7c1-4d38-ad2f-7c6826bd1077",
    "version": null,
    "ds_topic": "a461a876-1939-4b9a-9d08-29cc653fb3b8",
    "title_cn": "中巴经济走廊冰川分布图",
    "title_en": "Glacier distribution map of China-Pakistan Economic Corridor",
    "ds_abstract": "<p>本数据集为中巴经济走廊冰川分布图，反应中巴公路沿线冰川分布情况。数据集获得方式以收集整理为主。区域包括中国境内喀什和巴基斯坦境内印度河上游包括Swat, Chitral, Gilgit, Hunza, Shigar, Shyok, Upper 、Indus, Shingo, Astor and Jhelum等流域。</p>",
    "ds_source": "<p>数据搜集整合</p>",
    "ds_process_way": "<p>数字矢量化</p>",
    "ds_quality": "<p>数据质量良好</p>",
    "ds_acq_start_time": null,
    "ds_acq_end_time": null,
    "ds_acq_place": "中巴走廊沿线",
    "ds_acq_lon_east": 79.76666666666667,
    "ds_acq_lat_south": 31.866666666666667,
    "ds_acq_lon_west": 69.01666666666667,
    "ds_acq_lat_north": 41.416666666666664,
    "ds_acq_alt_low": 1120.0,
    "ds_acq_alt_high": 8611.0,
    "ds_share_type": "apply-access",
    "ds_total_size": 25496890,
    "ds_files_count": 25,
    "ds_format": "矢量文件shp",
    "ds_space_res": null,
    "ds_time_res": "",
    "ds_coordinate": "WGS84",
    "ds_projection": "WGS_1984_UTM",
    "ds_thumbnail": "e02a4058-b7c1-4d38-ad2f-7c6826bd1077.png",
    "ds_thumb_from": 0,
    "ds_ref_way": "艾鸣浩，中巴经济走廊冰川分布图，国家特殊环境、特殊功能 观测研究台站共享平台，2018，doi：10.12072/casnw.047.2018.db",
    "paper_ref_way": "",
    "ds_ref_instruction": null,
    "ds_from_station": null,
    "organization_id": "52b7b79b-860c-49a5-9083-9a70cf8bed5a",
    "ds_serv_man": "艾鸣浩",
    "ds_serv_phone": "0931-4967590",
    "ds_serv_mail": "aimh@lzb.zc.cn",
    "doi_value": "",
    "subject_codes": null,
    "quality_level": 3,
    "publish_time": "2020-12-21 13:36:03",
    "last_updated": "2023-05-16 17:35:41",
    "protected": false,
    "protected_to": null,
    "lang": "zh",
    "cstr": "11738.11.ncdc.nieer.2020.1313",
    "i18n": {
        "en": {
            "title": "Glacier distribution map of China-Pakistan Economic Corridor",
            "ds_format": "",
            "ds_source": "<p>Data collection and integration</p>",
            "ds_quality": "<p>Good data quality</p>",
            "ds_ref_way": "\nAI Minghao, glacier distribution map of China-Pakistan Economic Corridor, sharing platform of national special environment and special function observation and research stations, 2018, DOI: 10.12072/casnw.047.2018.db",
            "ds_abstract": "<p>This data set is the glacier distribution map of China-Pakistan Economic Corridor, reflecting the glacier distribution along the China Pakistan highway. Data collection is the main way to obtain data sets. The upper reaches of the Indus River include Swat, Chitral, Gilgit, Hunza, Shigar, shyok, upper, Indus, Shingo, Astor and Jhelum. </p>",
            "ds_time_res": "",
            "ds_acq_place": "Along the China-Pakistan corridor",
            "ds_space_res": "",
            "ds_projection": "",
            "ds_process_way": "<p>Digital Vectorization</p>",
            "ds_ref_instruction": "\nNone"
        }
    },
    "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": [
        "冰川分布"
    ],
    "ds_subject_tags": [],
    "ds_class_tags": [],
    "ds_locus_tags": [
        "中巴走廊沿线"
    ],
    "ds_time_tags": [],
    "ds_contributors": [
        {
            "true_name": "艾鸣浩",
            "email": "aimh@lzb.ac.cn",
            "work_for": "中科院西北研究院",
            "country": "中国"
        }
    ],
    "ds_meta_authors": [
        {
            "true_name": "艾鸣浩",
            "email": "aimh@lzb.ac.cn",
            "work_for": "中科院西北研究院",
            "country": "中国"
        }
    ],
    "ds_managers": [
        {
            "true_name": "艾鸣浩",
            "email": "aimh@lzb.ac.cn",
            "work_for": "中科院西北研究院",
            "country": "中国"
        }
    ],
    "category": "冰川"
}