{
    "created": "2026-06-10 16:58:25",
    "updated": "2026-06-10 11:20:43",
    "id": "ac1e0e67-71f2-4da7-9290-b068d3e5a73a",
    "version": 2,
    "ds_topic": null,
    "title_cn": "阿拉斯加多年冻土融化数据库（v2.0.0）",
    "title_en": "The Alaska Permafrost Thaw Database (Version 2.0.0)",
    "ds_abstract": "<p>&emsp;&emsp;北极地区升温速率约为全球平均水平的近四倍，引发大范围多年冻土消融退化，对生态系统与基础设施造成深远影响。渐进式冻土消融往往历经数十年，而热喀斯特发育、后退式融滑塌等突发冻土消融事件，会快速改变生态环境并严重损毁各类工程设施。当前突发冻土消融现象日趋普遍，但面向区域尺度、可供土地管理部门及地方政府使用的全域空间数据集仍较为匮乏。为填补这一数据空白，本研究构建阿拉斯加多年冻土数据库。该开放共享型协作数据集整合 44 项数据源，汇总阿拉斯加州全域共计 19540 处多年冻土消融与热喀斯特点位，数据来源包括实地观测、遥感产品及已发表文献。数据集观测时段自 1950 年延续至今，空间分辨率跨度较大，涵盖野外点位观测数据与 1–125 米分辨率遥感数据，实现阿拉斯加州全域覆盖。库中同时收录突发冻土消融点位与自上而下渐进消融点位，可支撑对比分析与预测模型构建。\n<p>&emsp;&emsp;本数据库收录阿拉斯加州全域共计 19540 处突发型与渐进型多年冻土融化点位数据。本版本同时提供表格数据与空间地理数据，文件格式包含 CSV、GeoJSON 及 GeoPackage。\n<p>&emsp;&emsp;本数据集可直观提供活动消融区与稳定多年冻土的实地观测数据，为地下冰制图工作提供依据与验证支撑。结合地形特征与遥感观测开展分析，还能够为观测薄弱区域的后续野外考察提供指导。随着北极地貌受冻土消融持续改变，这类高分辨率、易获取的空间数据，是制定减缓与适应对策的重要基础。",
    "ds_source": "",
    "ds_process_way": "",
    "ds_quality": "",
    "ds_acq_start_time": "1950-01-01 00:00:00",
    "ds_acq_end_time": "2025-12-31 00:00:00",
    "ds_acq_place": "阿拉斯加地区",
    "ds_acq_lon_east": null,
    "ds_acq_lat_south": null,
    "ds_acq_lon_west": null,
    "ds_acq_lat_north": null,
    "ds_acq_alt_low": null,
    "ds_acq_alt_high": null,
    "ds_share_type": "open-access",
    "ds_total_size": 3968134,
    "ds_files_count": 0,
    "ds_format": "CSV、GeoJSON 及 GeoPackage",
    "ds_space_res": "",
    "ds_time_res": "",
    "ds_coordinate": "无",
    "ds_projection": "",
    "ds_thumbnail": "ac1e0e67-71f2-4da7-9290-b068d3e5a73a.png",
    "ds_thumb_from": 0,
    "ds_ref_way": "",
    "paper_ref_way": "",
    "ds_ref_instruction": "",
    "ds_from_station": null,
    "organization_id": "0a4269e1-65f4-45f1-aeba-88ea3068eebf",
    "ds_serv_man": null,
    "ds_serv_phone": null,
    "ds_serv_mail": null,
    "doi_value": "",
    "subject_codes": [
        "170.45"
    ],
    "quality_level": 0,
    "publish_time": "2026-06-10 17:02:50",
    "last_updated": "2026-06-10 17:02:50",
    "protected": false,
    "protected_to": null,
    "lang": "zh",
    "cstr": "11738.11.ncdc.permafrost.db7450.2026",
    "i18n": {
        "en": {
            "title": "The Alaska Permafrost Thaw Database (Version 2.0.0)",
            "ds_format": "",
            "ds_source": "",
            "ds_quality": "",
            "ds_ref_way": "",
            "ds_abstract": "<p>&emsp;The warming rate in the Arctic region is about four times the global average, causing large-scale permafrost ablation and degradation, which has a profound impact on ecosystems and infrastructure. Progressive permafrost ablation often takes decades, and sudden permafrost ablation events such as hot karst development and retreating meltdown can quickly change the ecological environment and seriously damage various engineering facilities. At present, sudden frozen soil melting is becoming increasingly common, but there is still a lack of global spatial data sets for regional scales that can be used by land management departments and local governments. In order to fill this data gap, this study built an Alaska permafrost database. This open and shared collaborative dataset integrates 44 data sources and summarizes a total of 19540 permafrost ablation and hot karst sites across Alaska. Data sources include field observations, remote sensing products and published literature. The observation period of the dataset has continued from 1950 to the present, with a large spatial resolution span, covering field point observation data and remote sensing data with a resolution of 1 - 125 meters, achieving full coverage of Alaska. The library includes both sudden frozen soil melting points and progressive melting points from top to bottom, which can support comparative analysis and prediction model construction.\r\n<p>&emsp;This database contains data on a total of 19540 sudden and progressive permafrost melting points across Alaska. This version provides both tabular data and spatial geographical data, and file formats include CSV, GeoJSON and GeoPackage.\r\n<p>&emsp;This dataset can intuitively provide on-site observation data of active ablation areas and stable permafrost, providing basis and verification support for underground ice mapping. Combining terrain characteristics with remote sensing observations can also provide guidance for subsequent field inspections in weak areas. As the Arctic landscape continues to change due to the melting of permafrost, such high-resolution and easily accessible spatial data is an important basis for formulating mitigation and adaptation strategies.",
            "ds_time_res": "",
            "ds_acq_place": "Alaska Region",
            "ds_space_res": "",
            "ds_projection": "",
            "ds_process_way": "",
            "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": [
        "多年冻土",
        "多年冻土融化点"
    ],
    "ds_subject_tags": [
        "地理学"
    ],
    "ds_class_tags": [],
    "ds_locus_tags": [
        "阿拉斯加地区"
    ],
    "ds_time_tags": [
        1950,
        1951,
        1952,
        1953,
        1954,
        1955,
        1956,
        1957,
        1958,
        1959,
        1960,
        1961,
        1962,
        1963,
        1964,
        1965,
        1966,
        1967,
        1968,
        1969,
        1970,
        1971,
        1972,
        1973,
        1974,
        1975,
        1976,
        1977,
        1978,
        1979,
        1980,
        1981,
        1982,
        1983,
        1984,
        1985,
        1986,
        1987,
        1988,
        1989,
        1990,
        1991,
        1992,
        1993,
        1994,
        1995,
        1996,
        1997,
        1998,
        1999,
        2000,
        2001,
        2002,
        2003,
        2004,
        2005,
        2006,
        2007,
        2008,
        2009,
        2010,
        2011,
        2012,
        2013,
        2014,
        2015,
        2016,
        2017,
        2018,
        2019,
        2020,
        2021,
        2022,
        2023,
        2024,
        2025
    ],
    "ds_contributors": [
        {
            "true_name": "Hailey Webb",
            "email": "hailey.webb@colorado.edu",
            "work_for": "Renewable and Sustainable Energy Institute, University of Colorado Boulder",
            "country": "中国"
        }
    ],
    "ds_meta_authors": [
        {
            "true_name": "Hailey Webb",
            "email": "hailey.webb@colorado.edu",
            "work_for": "Renewable and Sustainable Energy Institute, University of Colorado Boulder",
            "country": "中国"
        }
    ],
    "ds_managers": [
        {
            "true_name": "Hailey Webb",
            "email": "hailey.webb@colorado.edu",
            "work_for": "Renewable and Sustainable Energy Institute, University of Colorado Boulder",
            "country": "中国"
        }
    ],
    "category": "冻土"
}