{
    "created": "2021-03-22 02:01:36",
    "updated": "2026-05-06 09:50:01",
    "id": "a0839559-2afd-43ec-bc75-ea5149596908",
    "version": 8,
    "ds_topic": null,
    "title_cn": "2015-2019年黄河流域新农村建设、乡村振兴规划、美丽乡村规划数据",
    "title_en": "Data on New Rural Construction, Rural Revitalization Planning, and Beautiful Village Planning in the Yellow River Basin from 2015 to 2019",
    "ds_abstract": "<p>&emsp;&emsp;本数据集收录了2015-2019年间部分年段市县级新农村建设规划、乡村振兴规划、美丽乡村规划方案。通过科学规划，分类指导，建设成了一批路畅、村美、环境整洁的社会主义新农村；通过加强基层组织建设，培育新型农民，为新农村建设营造了和谐稳定的社会环境；通过创新思路，健全机制，强化措施，狠抓落实，全市逐步形成了全社会共同参与建设新农村的大格局。把实施乡村振兴战略作为新时代做好“三农”工作的总抓手，加快完善农村基础设施建设，着力夯实农村产业基础，大力提升乡村人居环境治理水平，深入推进美丽乡村建设，群众获得感和幸福感不断提升。</p>\n<p>&emsp;&emsp;本数据集以word为主，部分附有源数据网站信息，将各省市县等新农村规划建设数据按文件夹进行展示。</p>",
    "ds_source": "<p>&emsp;&emsp;数据来源于政府网站中的规划公示、政府公开新闻信息、各大新闻网的政策收集信息。</p>",
    "ds_process_way": "<p>&emsp;&emsp;将政策规划进行去杂处理，将提纯后的文本数据、图片数据等按照省市县进行分类，存储到对应的文件夹中，将文件夹作为地址存储到Excel表中易于查看。</p>",
    "ds_quality": "<p>&emsp;&emsp;数据质量良好。</p>",
    "ds_acq_start_time": "2015-01-01 00:00:00",
    "ds_acq_end_time": "2019-12-31 00:00:00",
    "ds_acq_place": "黄河流域",
    "ds_acq_lon_east": 119.345,
    "ds_acq_lat_south": 32.84166666666667,
    "ds_acq_lon_west": 95.88194444444444,
    "ds_acq_lat_north": 41.84388888888889,
    "ds_acq_alt_low": null,
    "ds_acq_alt_high": null,
    "ds_share_type": "login-access",
    "ds_total_size": 1461758,
    "ds_files_count": 23,
    "ds_format": "Word",
    "ds_space_res": null,
    "ds_time_res": "",
    "ds_coordinate": "WGS84",
    "ds_projection": "",
    "ds_thumbnail": "a0839559-2afd-43ec-bc75-ea5149596908.png",
    "ds_thumb_from": 0,
    "ds_ref_way": "",
    "paper_ref_way": "",
    "ds_ref_instruction": "",
    "ds_from_station": null,
    "organization_id": "b412fac3-1f10-4eb6-9d10-c51bcea30d0c",
    "ds_serv_man": "敏玉芳",
    "ds_serv_phone": "0931-4967596",
    "ds_serv_mail": "ncdc@lzb.ac.cn",
    "doi_value": "10.12072/ncdc.YRiver.db1947.2022",
    "subject_codes": [
        "170.4520"
    ],
    "quality_level": 3,
    "publish_time": "2022-04-01 09:49:26",
    "last_updated": "2025-05-29 11:42:38",
    "protected": false,
    "protected_to": null,
    "lang": "zh",
    "cstr": "11738.11.ncdc.YRiver.db1947.2022",
    "i18n": {
        "en": {
            "title": "Data on New Rural Construction, Rural Revitalization Planning, and Beautiful Village Planning in the Yellow River Basin from 2015 to 2019",
            "ds_format": "word",
            "ds_source": "<p>&emsp;The data sources include planning announcements from government websites, publicly released news information from the government, and policy collection information from major news websites.</p>",
            "ds_quality": "<p>&emsp;Good data quality.</p>",
            "ds_ref_way": "",
            "ds_abstract": "<p> This dataset contains plans for new rural construction, Rural Revitalization Strategy, and beautiful village planning at the city and county levels during certain years from 2015 to 2019. Through scientific planning and classified guidance, a batch of socialist new rural areas with smooth roads, beautiful villages, and a clean environment has been built. By strengthening the construction of grassroots organizations and cultivating new types of farmers, a harmonious and stable social environment has been created for new rural construction. Through innovative thinking, improving mechanisms, strengthening measures, and vigorously implementing plans, a large-scale pattern of the whole society participating in the construction of new rural areas has gradually formed in the city. The implementation of the Rural Revitalization Strategy is regarded as the overall focus for doing a good job in the Three Rural Issues in the new era. Efforts have been made to accelerate the improvement of rural infrastructure construction, consolidate the industrial foundation of rural areas, vigorously improve the level of rural human settlement environment governance, and deeply promote the construction of beautiful villages, continuously enhancing the people's sense of gain and happiness.</p>\n<p> This dataset is mainly in Word format, with some containing source data website information. The new rural planning and construction data of various provinces, cities, and counties are displayed in folders.</p>",
            "ds_time_res": "",
            "ds_acq_place": "The Yellow River Basin",
            "ds_space_res": "",
            "ds_projection": "",
            "ds_process_way": "<p>&emsp;The policy plans were processed to remove impurities, and the purified text data, image data, etc., were classified according to provinces, cities, and counties. They were then stored in corresponding folders, and the folders were used as addresses and stored in an Excel table for easy viewing.</p>",
            "ds_ref_instruction": ""
        }
    },
    "submit_center_id": "ncdc",
    "data_level": 0,
    "license_type": "CC 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": [
        "乡村振兴",
        "美丽乡村",
        "新农村建设"
    ],
    "ds_subject_tags": [
        "人文地理学"
    ],
    "ds_class_tags": [],
    "ds_locus_tags": [
        "黄河流域"
    ],
    "ds_time_tags": [
        2015,
        2016,
        2017,
        2018,
        2019
    ],
    "ds_contributors": [
        {
            "true_name": "张耀南",
            "email": "yaonan@lzb.ac.cn",
            "work_for": "中国科学院西北生态环境资源研究院",
            "country": "中国"
        },
        {
            "true_name": "康建芳",
            "email": "kangjf@lzb.ac.cn",
            "work_for": "中国科学院西北生态环境资源研究院",
            "country": "中国"
        },
        {
            "true_name": "刘春",
            "email": "liuchun@henu.edu.cn",
            "work_for": "河南大学",
            "country": "中国"
        }
    ],
    "ds_meta_authors": [
        {
            "true_name": "刘春",
            "email": "liuchun@henu.edu.cn",
            "work_for": "河南大学",
            "country": "中国"
        }
    ],
    "ds_managers": [
        {
            "true_name": "敏玉芳",
            "email": "myf@lzb.ac.cn",
            "work_for": "中国科学院西北生态环境资源研究院",
            "country": "中国"
        }
    ],
    "category": "基础地理"
}