中华人民共和国渔业船舶国籍证书电子证书
收藏资源简介:
该数据包含了浙江省2020年至今,中华人民共和国渔业船舶国籍证书电子证书信息,由省海洋经济厅提供,属于工业农业领域的政务数据资源,更新频率为每日。本数据以中华人民共和国渔业船舶国籍证书电子证书相关业务办理数据为基础,涵盖了业务主键、更新时间、持证者主体代码类型名称、船名、净吨位、船舶呼号识别码、所有权国籍登记审批时间、渔业船舶国籍证书编号、渔业船舶国籍证书有效期、水上移动通信业务标识码、国际海事组织识别码、水域滩涂养殖证编号、主机总功率、总吨位、型深、型宽、船长、建造完工日期、船体材质、船舶种类、渔船编码、船籍港、渔业船舶所有权登记证书编号、发证机关、发证机关统一社会信用代码、行政区划代码、证照状态、证照名称、时间戳、签名公钥证书、签名哈希值、电子证书链接、签名值等核心业务字段,通过标准化数据归集与清洗处理,可有效支撑工业农业领域的业务监管、合规核查、统计分析与数字化管理,提升相关业务办理的时效性、准确性与规范化水平。
This dataset contains electronic certificate information for the nationality certificates of fishing vessels of the People's Republic of China, covering the period from 2020 to present in Zhejiang Province. It is provided by the Zhejiang Provincial Department of Marine Economy, and belongs to government data resources in the industrial and agricultural sectors, with a daily update frequency. Based on business handling data related to electronic nationality certificates for fishing vessels of the People's Republic of China, this dataset covers core business fields including business primary key, update time, type and name of the holder's main body code, vessel name, net tonnage, ship call sign identification code, approval time for ownership and nationality registration, serial number of fishing vessel nationality certificate, validity period of fishing vessel nationality certificate, Maritime Mobile Service Identity (MMSI) code, International Maritime Organization (IMO) identification code, serial number of aquaculture permit for waters and tidal flats, total main engine power, gross tonnage, mould depth, mould breadth, overall length, date of completion of construction, hull material, vessel type, fishing vessel code, port of registry, serial number of fishing vessel ownership registration certificate, issuing authority, unified social credit code of the issuing authority, administrative division code, certificate status, certificate name, timestamp, signature public key certificate, signature hash value, electronic certificate link, signature value and other core business fields. Through standardized data collection and cleaning processing, this dataset can effectively support business supervision, compliance verification, statistical analysis and digital management in the industrial and agricultural sectors, and improve the timeliness, accuracy and standardization level of relevant business handling.




