1.
					
							Research on water resources scientific data collection system based on metadata
						
					
					
						
						
					
					
						基于元数据的水利科学数据汇交体系研究
					2.
					
							Establishment of standard system for data sharing of water resources;
						
					
					
						
						
					
					
						水利科学数据共享标准体系研究与构建
					3.
					
							Study on Data Collection and Publication System and Sharing Platform Design for Science Date Sharing of Water Resources;
						
						
						水利科学数据共享汇交发布体系及共享平台设计
					4.
					
							Classification system and code structure of water science data based on multi-dimensional assembly
						
						
						基于多维组合的水利科学数据分类体系及其编码结构
					5.
					
							Application of Scientific Data in Short-term and Close-to Earthquake Forecasting
						
					
					
						
						
					
					
						科学数据在地震短临预报中的科学利用
					6.
					
							The Use of PHP Technology to Realize the Buildup of Discipline-guiding Databank;
						
					
					
						
						
					
					
						利用PHP技术实现学科导航数据库建设
					7.
					
							Using of Scopus Database to Propel Scientific Researches
						
					
					
						
						
					
					
						利用Scopus数据库助推科学研究
					8.
					
							Mathematics is said to be a subject that helps the brain work and develop.
						
					
					
						
						
					
					
						数学据说是有利于大脑思考和发育的科目。
					9.
					
							Institute of Water Conservancy and Hydroelectric PowerResearch, IWHR
						
					
					
						
						
					
					
						水利水电科学研究院
					10.
					
							Committee on Data for Science and Technology(CODATA)
						
					
					
						
						
					
					
						国际科学技术数据组织
					11.
					
							CODATA (Committee on Data for Science and Technology)
						
					
					
						
						
					
					
						科学技术数据委员会
					12.
					
							The Development of Database Technology and the Project of Science Database;
						
					
					
						
						
					
					
						数据库技术新进展与科学数据库工程
					13.
					
							Data mining can be regarded as a collection of methods for discovery useful pattern from large databases.
						
						
						数据开采是利用现代统计学知识和计算知识从大型数据库中发现潜在的有用模式的学科。
					14.
					
							“That was the most important scientific data I’d heard in my career,” Dr. Oakley said.
						
					
					
						
						
					
					
						“这是我在职业生涯中得到的最重要的科学数据。”奥克利博士说。
					15.
					
							Analysis for the Usage of Two Kinds of Foreign Electronic Full Text Databases in Academy of Sciences
						
						
						两种外文电子全文数据库在科学院系统的利用分析
					16.
					
							Development of investigations in some geo-scientific problems using superconducting gravimeter data
						
						
						利用超导重力数据研究若干地球科学问题的进展
					17.
					
							Nanjing Hydraulic Research Institute
						
					
					
						
						
					
					
						南京水利科学研究院
					18.
					
							This system greatly improves the work efficiency by using the database management system to process large amount of miscellaneous chemical supervision data for water and steam quality control.
						
						
						利用数据库管理系统管理化学水汽品质监测繁杂的数据,大大提高了化学专业人员的工作效率。