primary data

primary data的基本解释

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原始资料[数据], 主要原料

与primary data相关的网络例句 [注：此内容来源于网络，仅供参考]

As a whole,the notable characteristic of primary productivity in size-fractioned structure was that nanoplankton occupied comparatively significant advantage in Beibu Gulf.Nanoplankton has the largest contribution to gross primary productivity,and picoplankton was the secondary contributor,while microplankton the least.The contribution of microplankton for primary productivity in the north Gulf was more than that in the other waters.Nanoplankton and picoplankton contribute more to the gross primary productivity in offshore deep waters than in inshore shallow waters3.The Beibu Gulf can be divided into three ecoregions:Region-Ⅰis the ecoregion in inshore shallow waters of the north Gulf.In average,the water depth is 18m,DIN is 1.88μmol/L,DIP is 0.20μmol/L,N:P is 9.4:1,dissolved silicate is 5.17μmol/L,the Chl a conentration in surface layer is 2.27mg·m~(-3),the assimilation index in surface layer is 3.80mg/,the primary productivity is 198.78mgC/(m~2·d), and potential fishery production is estimated to be 0.24gC/(m~2·a) according to the primary productivity.The ecoregion is mainly affected by the northern coastal water systems,and may be fit for aquaculture;Region-Ⅱis the ecoregion in offshore deep waters of the north Gulf and the coastal shallow waters to the west Hainan Island.In average,the water depth is 35m,DIN is 2.01μmol/L,DIP is 0.18μmol/L,N:P is 11.2:1,disovled silicate is 4.23μmol/L,the chlorophyll a of surface layer concentration is 1.45mg·m~(-3),the assimilation index of surface layer is 4.12 mg/,the primary productivity is 276.60mgC/(m~2·d),and the estimated potential fishery production is 0.34gC/(m~2·a) according to the primary productivity. The ecoregion was mainly influenced by ocean current from the South China Sea, rivers in the west coast of Hainan Island and the water from Qiongzhou Strait.It may be fit for aquaculture and fishery;Region-Ⅲis the ecoregion in offshore deep waters of the mid and south Gulf.In average,the water depth is 75m,DIN is 0.77μmol/L, DIP is 0.15μmol/L,N:P is 5.1:1,disovled silicate is 3.05μmol/L,the chlorophyll a of surface layer concentration is 0.70mg·m~(-3),the assimilation index of surface layer averaged is 3.69mg/,the primary productivity is 350.89mgC/(m~2·d),and the estimated potential fishery production is 0.43gC/(m~2·a) according to the primary productivity.The ecoregion was mainly affected by the circulation inside Beibu Gulf, and may be fit for fishery.

初级生产力的粒级结构的一个显著特点是总体上微型浮游生物在全调查海区均占较明显优势，对总初级生产力的平均贡献最大；微微型浮游生物对初级生产力的平均贡献次之；小型浮游生物对总初级生产力的平均贡献最小；湾北部小型浮游生物对初级生产力的平均贡献高于湾中部和湾南部，而湾中部和湾南部微型和微微型浮游生物对初级生产力的平均贡献高于湾北部，远岸深水区高于近岸浅水区。3、北部湾可以分为三个生态区：湾北部近岸浅水区，该区的环境主要特点是平均水深19m，DIN浓度平均值为1.88μmol/L，DIP浓度平均值为0.20μmol/L，N：P为9.4：1，硅酸盐浓度平均值为5.17μmol/L，表层叶绿素a平均值高达2.27 mg·m~(-3)，表层同化指数平均为3.80 mg/，初级生产力平均值198.78mgC/(m~2·d)，根据初级生产力计算潜在渔业资源碳生产量平均为0.24 gC/(m~2·a)，该区主要受湾北部沿岸水系影响，适合作为水产养殖区；湾北部深水区和海南岛西部沿岸浅水区，该区的环境主要特点是平均水深35m，DIN浓度平均值为2.01μmol/L，DIP浓度平均值为0.18μmol/L，N：P为11.2：1，硅酸盐浓度平均值为4.23μmol/L，表层叶绿素a平均值1.45 mg·m~(-3)，表层同化指数平均为4.12mg/，初级生产力平均值276.60 mgC/(m~2·d)，根据初级生产力计算潜在渔业资源碳生产量平均为0.34 gC/(m~2·a)，该区主要受南部湾口区海流向湾内延伸，沿岸海南岛河流注入湾内和琼州海峡过道水的影响，适合作为渔业作业区和水产养殖区；湾中部和南部远岸深水区，该区的环境主要特点是平均水深75m，DIN浓度平均值为0.77μmol/L，DIP浓度平均值为0.15μmol/L，N：P为5.1：1，硅酸盐浓度平均值为3.05μmol/L，表层叶绿素a平均值0.70 mg·m~(-3)，表层同化指数平均为3.69 mg/，初级生产力平均值350.89 mgC/(m~2·d)，根据初级生产力计算潜在渔业资源碳生产量平均为0.43 gC/(m~2·a)，该区主要受北部湾环流影响，适合作为渔业作业区。

Therein, by adopting the ISCSI protocol, the local data storage sub-system constructs the circuital access pattern of the taxation data. The system eliminates the unbalance phenomena between the capability and the demand of the data storage under the traditional bus storage pattern. Under the centralized control pattern, it provides the information access and shares service with the great data volume, the high speed of data transportation and the high availability for the taxation system. By remotely building a backup data center that is totally consistent with the local data center on the IT foundational fabric, the remote data backup sub-system uses the geographical dispersibility of the remote data center and adopts the LVR software replication technology. It implements the synchronous data replication between the local and remote data center, changes the zero standing capability on the great disaster event under the single data center pattern and raises the standing capability on the disaster events for the application and data in the taxation system. By adopting the dynamic replication technology between the heterogeneous data source, the heterogeneous data conformity sub-system successfully shields the various heterogeneous ingredients of the present system.

其中，本地数据存储子系统采用ISCSI协议构建了税务数据网络存储模式，消除了传统总线型存储模式下数据存储性能和存储需求之间的失衡现象，在集控管理模式下为税务系统提供了超大数据容量、高数据传输率和高可用性的信息存取和共享服务；远程数据备份子系统通过在异地构建一个和本地数据中心IT基础架构完全一致的备份数据中心，利用远程数据中心在地理上的分散性，基于LVR软件复制技术实现了本地和远程数据中心之间信息的实时同步，改变了过去单一数据中心模式下对大型灾难事件的零抗灾能力，提高了税务系统内应用和数据对灾难性事件的抵御能力；异构数据整合子系统采用异类数据源动态复制技术，成功屏蔽了目前系统内存在的各项异构成分。

This paper analyzed data from multiple sources and different structures, concluded three types of info: Login info, Event info, and Packet data info, then created the formation for every type of data; In order to combine future possible new data, IDS using profile and formation string together, create and practice data formation standard algorithm; Because in the collected data, there is info that is redundant or has minor effect on the IDS, this paper discussed the rules of redundant data differentiating and safe data differentiating, Then create data filter rule base; Data collecting system uses distributivity design, collecting module like a black box. we can get data which was filterd and had standard formation, if we created a new model string for new data source. Module work individually; filter data right away at the collecting node.

本文分析了多种来源的、不同结构的数据，将其总结成登录信息、事件信息和网络数据包信息三种类型，并为每种类型的数据设计了固定的格式；为了与将来可能出现的新型数据兼容，采用了配置文件与模式字符串相结合的方法，设计并实现了数据格式标准化算法；由于收集到的数据中存在冗余的信息和对入侵检测影响不大的信息，本文分别讨论了冗余数据辨别规则和安全数据辨别规则，并建立起数据过滤规则库；数据收集系统采用分布式设计，收集器以黑盒形式提供，对新的数据源只需设计一个新的模式字符串，即可得到过滤后的、具有标准格式的数据，各收集器间独立工作；在收集点即对数据进行过滤，只向分析中心报告可疑数据，以减少传输和存储的数据量，降低对网络性能的影响。

与primary data相关的网络解释 [注：此内容来源于网络，仅供参考]

primary oogonium;primary ovogonium：初生卵原细胞;初级卵原细胞

初生的卵母细胞;初级卵母细胞 primary oocyte;primary ovocyte | 初生卵原细胞;初级卵原细胞 primary oogonium;primary ovogonium | 初生周缘细胞 primary parietal cell

primary oocyte;primary ovocyte：初生的卵母细胞;初级卵母细胞

第一次联合染色体不分离 primary non-disjunction | 初生的卵母细胞;初级卵母细胞 primary oocyte;primary ovocyte | 初生卵原细胞;初级卵原细胞 primary oogonium;primary ovogonium

primary sex ratio：第一性比

初步纯化 primary pruification | 第一性比 primary sex ratio | 初代无特定病原(猪) primary specific pathogen-free; primary SPF