{
    "created": "2026-05-06 17:38:37",
    "updated": "2026-05-11 08:29:24",
    "id": "7d0c066c-0f9c-4897-a66f-088114085c4d",
    "version": 3,
    "ds_topic": null,
    "title_cn": "丰水年极端湿润条件下削减氮素流失数据集（1981-2010年）",
    "title_en": "Mitigating nitrogen losses during extremely wet years",
    "ds_abstract": "<p>&emsp;&emsp;气候变化引发极端湿润年份降水异常，致使大量氮素流失并汇入水生生态系统。本数据集整合多套全球数据集，基于成熟的作物模型与机器学习方法，生成丰水年极端湿润条件下削减氮素流失数据集，包含论文正文图表的原始数据源，可用于阐释气候极端适应性氮素调控策略（CLEANS），为全球尺度氮素流失阻控提供支撑，对保障粮食安全、维护全球环境可持续发展具有重要参考价值。",
    "ds_source": "",
    "ds_process_way": "",
    "ds_quality": "",
    "ds_acq_start_time": "1981-01-01 00:00:00",
    "ds_acq_end_time": "2010-12-31 00:00:00",
    "ds_acq_place": "全球",
    "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": 1137080,
    "ds_files_count": 0,
    "ds_format": "csv",
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    "ds_time_res": "",
    "ds_coordinate": "无",
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    "ds_thumbnail": "7d0c066c-0f9c-4897-a66f-088114085c4d.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": "李红星",
    "ds_serv_phone": "0931-4967592",
    "ds_serv_mail": "ncdc@lzb.ac.cn",
    "doi_value": "",
    "subject_codes": [
        "170.15"
    ],
    "quality_level": 0,
    "publish_time": "2026-05-11 14:51:27",
    "last_updated": "2026-05-11 15:28:37",
    "protected": false,
    "protected_to": null,
    "lang": "zh",
    "cstr": "11738.11.ncdc.ecology.db7319.2026",
    "i18n": {
        "en": {
            "title": "Mitigating nitrogen losses during extremely wet years",
            "ds_format": "csv",
            "ds_source": "",
            "ds_quality": "",
            "ds_ref_way": "",
            "ds_abstract": "<p>&emsp;Climate change causes abnormal precipitation in extremely humid years, resulting in significant nitrogen loss and incorporation into aquatic ecosystems. This dataset integrates multiple global datasets, based on mature crop models and machine learning methods, to generate a dataset for reducing nitrogen loss under extreme humid conditions in wet years. It includes the original data source of the main text of the paper and charts, which can be used to explain climate extreme adaptive nitrogen regulation strategies (CLEANS), providing support for global scale nitrogen loss prevention and control, and has important reference value for ensuring food security and maintaining sustainable development of the global environment.",
            "ds_time_res": "",
            "ds_acq_place": "global",
            "ds_space_res": "",
            "ds_projection": "",
            "ds_process_way": "",
            "ds_ref_instruction": ""
        }
    },
    "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": [
        "丰水年",
        "极端湿润条件",
        "氮素"
    ],
    "ds_subject_tags": [
        "大气科学"
    ],
    "ds_class_tags": [],
    "ds_locus_tags": [
        "全球"
    ],
    "ds_time_tags": [
        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
    ],
    "ds_contributors": [
        {
            "true_name": "刘文丰",
            "email": "wenfeng.liu@cau.edu.cn",
            "work_for": "中国农业大学农业水资源高效利用全国重点实验室",
            "country": "中国"
        }
    ],
    "ds_meta_authors": [
        {
            "true_name": "刘文丰",
            "email": "wenfeng.liu@cau.edu.cn",
            "work_for": "中国农业大学农业水资源高效利用全国重点实验室",
            "country": "中国"
        }
    ],
    "ds_managers": [
        {
            "true_name": "刘文丰",
            "email": "wenfeng.liu@cau.edu.cn",
            "work_for": "中国农业大学农业水资源高效利用全国重点实验室",
            "country": "中国"
        }
    ],
    "category": "生态"
}