本数据集主要收集了黄河流域各地区(以县区级单位，共103个)2015～2019年棉花种植面积。数据主要来源于黄河流域各地区年鉴及省级统计年鉴。
\n1、数据集命名：流域棉花种植面积统计.xlsx。
\n2、属性信息：省：黄河流域流经省级地区。市：黄河流域流经市级地区。县(区)：黄河流域流经县(区)级地区。棉花种植面积：黄河流域地区年小麦种植面积。单位:公顷。
\n数据集中每个工作表分别为2015～2019年黄河流域各地区棉花种植面积数据。详细数据记录在详情列中。
", "ds_source": "本数据集数据源主要有各省市县统计局发布的2015年至2019年年鉴资料：
\n三门峡市统计年鉴2015年～2019年统计年鉴
\n洛阳市统计年鉴2015年～2019年统计年鉴
\n焦作市统计年鉴2015年～2019年统计年鉴
\n郑州市统计年鉴2015年～2019年统计年鉴
\n新乡市统计年鉴2015年～2019年统计年鉴
\n开封市统计年鉴2015年～2019年统计年鉴
\n濮阳市统计年鉴2015年～2019年统计年鉴
\n榆林市统计年鉴2015年～2019年统计年鉴
\n延安市统计年鉴2015年～2019年统计年鉴
\n渭南市统计年鉴2015年～2019年统计年鉴
\n忻州市统计年鉴2015年～2019年统计年鉴
\n临汾市统计年鉴2015年～2019年统计年鉴
\n运城市统计年鉴2015年～2019年统计年鉴
\n吕梁市统计年鉴2015年～2019年统计年鉴
\n菏泽市统计年鉴2015年～2019年统计年鉴
\n济宁市统计年鉴2015年～2019年统计年鉴
\n泰安市统计年鉴2015年～2019年统计年鉴
\n聊城市统计年鉴2015年～2019年统计年鉴
\n济南市统计年鉴2015年～2019年统计年鉴
\n滨州市统计年鉴2015年～2019年统计年鉴
\n淄博市统计年鉴2015年～2019年统计年鉴
\n东营市统计年鉴2015年～2019年统计年鉴
\n青海省统计年鉴2015年～2019年统计年鉴
\n阿坝藏族羌族自治州统计年鉴2015年～2019年统计年鉴
\n兰州市统计年鉴2015年～2019年统计年鉴
\n中卫市统计年鉴2015年～2019年统计年鉴
\n吴忠市统计年鉴2015年～2019年统计年鉴
\n银川市统计年鉴2015年～2019年统计年鉴
\n鄂尔多斯市统计年鉴2015年～2019年统计年鉴
", "ds_process_way": "人工收集整理数据并摘录。
", "ds_quality": "数据质量良好。
", "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": 61997, "ds_files_count": 2, "ds_format": "EXCEL", "ds_space_res": null, "ds_time_res": "年", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "04d24cf0-a695-4c73-a9c1-68a5578a7905.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": "", "subject_codes": [ "170.4520" ], "quality_level": 3, "publish_time": "2021-09-17 08:56:38", "last_updated": "2025-05-29 11:42:36", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.NCDC.YRIVER.2021.15", "i18n": { "en": { "title": "Statistical Data on Cotton Planting Area in the Yellow River Basin from 2015 to 2019", "ds_format": "Excel", "ds_source": "The data sources of this data set mainly include the yearbook data from 2015 to 2019 issued by the statistical bureaus of provinces, cities and counties:\n
Statistical yearbook of Sanmenxia City from 2015 to 2019
\nLuoyang statistical yearbook 2015 ~ 2019 statistical yearbook
\nJiaozuo statistical yearbook 2015 ~ 2019 statistical yearbook
\nZhengzhou statistical yearbook 2015 ~ 2019 statistical yearbook
\nXinxiang statistical yearbook 2015 ~ 2019 statistical yearbook
\nKaifeng statistical yearbook 2015 ~ 2019 statistical yearbook
\nPuyang statistical yearbook 2015 ~ 2019 statistical yearbook
\nYulin statistical yearbook 2015 ~ 2019 statistical yearbook
\nYan'an statistical yearbook 2015 ~ 2019 statistical yearbook
\nWeinan statistical yearbook 2015 ~ 2019 statistical yearbook
\nXinzhou statistical yearbook 2015 ~ 2019 statistical yearbook
\nLinfen statistical yearbook 2015 ~ 2019
\nYuncheng statistical yearbook 2015 ~ 2019
\nLuliang statistical yearbook 2015 ~ 2019 statistical yearbook
\nHeze statistical yearbook 2015 ~ 2019 statistical yearbook
\nJining statistical yearbook 2015 ~ 2019 statistical yearbook
\nStatistical yearbook of Tai'an City from 2015 to 2019
\nLiaocheng statistical yearbook 2015 ~ 2019 statistical yearbook
\nJinan statistical yearbook 2015 ~ 2019 statistical yearbook
\nBinzhou statistical yearbook 2015 ~ 2019
\nZibo statistical yearbook 2015 ~ 2019
\nDongying statistical yearbook 2015 ~ 2019 statistical yearbook
\nQinghai statistical yearbook 2015 ~ 2019 statistical yearbook
\nAba Tibetan and Qiang Autonomous Prefecture statistical yearbook 2015 ~ 2019
\nLanzhou statistical yearbook 2015 ~ 2019 statistical yearbook
\nZhongwei statistical yearbook 2015 ~ 2019
\nWuzhong statistical yearbook 2015 ~ 2019 statistical yearbook
\nYinchuan statistical yearbook 2015 ~ 2019
\nOrdos statistical yearbook 2015 ~ 2019
The data sources of this data set mainly include the yearbook data from 2015 to 2019 issued by the statistical bureaus of provinces, cities and counties:\n
Statistical yearbook of Sanmenxia City from 2015 to 2019
\nLuoyang statistical yearbook 2015 ~ 2019 statistical yearbook
\nJiaozuo statistical yearbook 2015 ~ 2019 statistical yearbook
\nZhengzhou statistical yearbook 2015 ~ 2019 statistical yearbook
\nXinxiang statistical yearbook 2015 ~ 2019 statistical yearbook
\nKaifeng statistical yearbook 2015 ~ 2019 statistical yearbook
\nPuyang statistical yearbook 2015 ~ 2019 statistical yearbook
\nYulin statistical yearbook 2015 ~ 2019 statistical yearbook
\nYan'an statistical yearbook 2015 ~ 2019 statistical yearbook
\nWeinan statistical yearbook 2015 ~ 2019 statistical yearbook
\nXinzhou statistical yearbook 2015 ~ 2019 statistical yearbook
\nLinfen statistical yearbook 2015 ~ 2019
\nYuncheng statistical yearbook 2015 ~ 2019
\nLuliang statistical yearbook 2015 ~ 2019 statistical yearbook
\nHeze statistical yearbook 2015 ~ 2019 statistical yearbook
\nJining statistical yearbook 2015 ~ 2019 statistical yearbook
\nStatistical yearbook of Tai'an City from 2015 to 2019
\nLiaocheng statistical yearbook 2015 ~ 2019 statistical yearbook
\nJinan statistical yearbook 2015 ~ 2019 statistical yearbook
\nBinzhou statistical yearbook 2015 ~ 2019
\nZibo statistical yearbook 2015 ~ 2019
\nDongying statistical yearbook 2015 ~ 2019 statistical yearbook
\nQinghai statistical yearbook 2015 ~ 2019 statistical yearbook
\nAba Tibetan and Qiang Autonomous Prefecture statistical yearbook 2015 ~ 2019
\nLanzhou statistical yearbook 2015 ~ 2019 statistical yearbook
\nZhongwei statistical yearbook 2015 ~ 2019
\nWuzhong statistical yearbook 2015 ~ 2019 statistical yearbook
\nYinchuan statistical yearbook 2015 ~ 2019
\nOrdos statistical yearbook 2015 ~ 2019
", "ds_quality": "Good data quality.
", "ds_ref_way": "", "ds_abstract": "This dataset mainly collects the statistical data on cotton planting area in various regions (with a total of 103 county-level districts) along the Yellow River Basin from 2015 to 2019. The data primarily originates from the yearbooks of various regions along the Yellow River Basin and provincial statistical yearbooks.
\n1.Dataset Name: Statistics of Cotton Planting Area in the River Basin.xlsx.
\n2.Attribute Information: Province: Provincial areas where the Yellow River flows; City: Municipal areas where the Yellow River flows; County (District): County (District)-level areas where the Yellow River flows; Cotton Planting Area: The annual planting area of cotton in the basin areas. Unit: hectares.
\nEach worksheet in the dataset presents the cotton planting area data of various regions along the Yellow River Basin for the corresponding year from 2015 to 2019. Detailed data is recorded in the \"Details\" column.
\nNote: There seems to be a discrepancy in the description, where it mentions \"wheat planting area\" but the context clearly indicates it should be \"cotton planting area.\" I have corrected it in the translation.
", "ds_time_res": "年", "ds_acq_place": "The Yellow River Basin", "ds_space_res": "", "ds_projection": "", "ds_process_way": "Manually collect, organize and excerpt data.
", "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": [ "棉花种植面积", "增产面积", "减产面积" ], "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" }