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)水产品年产量数据。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：流域水产品产量统计.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。数据：黄河流域地区水产品年产量。单位:吨。
\n数据集中每个工作表分别为2015～2019年黄河流域各地区水产品产量数据，详细数据记录在详细栏中。
", "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": "数据源自各区县年鉴。
", "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": 63001, "ds_files_count": 2, "ds_format": "Excel", "ds_space_res": null, "ds_time_res": "年", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "2def608a-cd7f-4241-8bdd-9779320b52b9.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": "2021-09-07 15:40:44", "last_updated": "2025-05-29 11:42:37", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.NCDC.YRIVER.2021.19", "i18n": { "en": { "title": "Statistics on Aquatic Product Output 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:
Statistical yearbook of Sanmenxia City from 2015 to 2019
Luoyang statistical yearbook 2015 ~ 2019 statistical yearbook
Jiaozuo statistical yearbook 2015 ~ 2019 statistical yearbook
Zhengzhou statistical yearbook 2015 ~ 2019 statistical yearbook
Xinxiang statistical yearbook 2015 ~ 2019 statistical yearbook
Kaifeng statistical yearbook 2015 ~ 2019 statistical yearbook
Puyang statistical yearbook 2015 ~ 2019 statistical yearbook
Yulin statistical yearbook 2015 ~ 2019 statistical yearbook
Yan'an statistical yearbook 2015 ~ 2019 statistical yearbook
Weinan statistical yearbook 2015 ~ 2019 statistical yearbook
Xinzhou statistical yearbook 2015 ~ 2019 statistical yearbook
Linfen statistical yearbook 2015 ~ 2019
Yuncheng statistical yearbook 2015 ~ 2019
Luliang statistical yearbook 2015 ~ 2019 statistical yearbook
Heze statistical yearbook 2015 ~ 2019 statistical yearbook
Jining statistical yearbook 2015 ~ 2019 statistical yearbook
Statistical yearbook of Tai'an City from 2015 to 2019
Liaocheng statistical yearbook 2015 ~ 2019 statistical yearbook
Jinan statistical yearbook 2015 ~ 2019 statistical yearbook
Binzhou statistical yearbook 2015 ~ 2019
Zibo statistical yearbook 2015 ~ 2019
Dongying statistical yearbook 2015 ~ 2019 statistical yearbook
Qinghai statistical yearbook 2015 ~ 2019 statistical yearbook
Aba Tibetan and Qiang Autonomous Prefecture statistical yearbook 2015 ~ 2019
Lanzhou statistical yearbook 2015 ~ 2019 statistical yearbook
Zhongwei statistical yearbook 2015 ~ 2019
Wuzhong statistical yearbook 2015 ~ 2019 statistical yearbook
Yinchuan statistical yearbook 2015 ~ 2019
Ordos statistical yearbook 2015 ~ 2019
", "ds_quality": "Good data quality.
", "ds_ref_way": "", "ds_abstract": "This dataset mainly collects the annual output data of aquatic products in various regions (with a total of 103 county-level districts) along the Yellow River Basin. The data mainly comes from the yearbooks of various regions along the Yellow River Basin and provincial statistical yearbooks.
\n1.Dataset Name: Aquatic Product Output Statistics in the River Basin.xlsx.\n
2.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. Data: Annual output of aquatic products in the basin areas. Unit: tons.\n
Each worksheet in the dataset presents the aquatic product output data of various regions along the Yellow River Basin for the years from 2015 to 2019, with detailed data recorded in the \"Detailed\" column.
", "ds_time_res": "年", "ds_acq_place": "The Yellow River Basin", "ds_space_res": "", "ds_projection": "", "ds_process_way": "The data is from the Yearbook of each district and county.
", "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, "ds_topic_tags": [ "淡水养殖", "水产品消费指数", "鱼类总产量", "海水养殖" ], "ds_subject_tags": [ "人文地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "河南省", "黄河流域", "山东", "宁夏", "陕西省", "山西省" ], "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" }