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此外，这些数据集应储存在适于所描述的数据类型的公共数据库中。
In addition, these datasets should be deposited in a public database appropriate for the type of data presented.这些数据集只包含地震的震级、地点和时间，并且省略了其余信息。
These data sets contain only earthquake magnitudes, locations and times, and leave out the rest of the information.同时，将对这些数据集进行整理和存储，以便进行更长期的分析。
At the same time, these data sets will be collated and stored for more long-term analysis.所以，如果PII从这些数据集剥夺（如下面的图所示），有什么大不了的？?
So if PII is stripped from these data sets(as depicted in the figure below), what's the big deal?可以完整地保存这些数据集，以便在以后的某个时间点进行分析，以确定趋势。
Those data sets can be saved in their entirety to be analyzed at a later point in time to identify trends.这些数据集非常庞大，传统的数据处理软件无法以有效的方式从中获取所需的信息。
These data sets are so big that traditional data-processing software can't obtain the required information from it in an effective way.这些数据集通常包含时间和位置信息，这在查看地图时可以提供非常有用的背景信息。
These datasets typically contain time and location information, which provide useful context when viewed on a map.用来分析数据模型可以尝试考虑到这些数据集往往强烈的时间和空间的偏见。
The models used to analyse 搜索和分析是这些数据集的简单用例，但也可以使用其他数据模型，例如图形分析。
Search and analytics are simple use cases for those data sets, but other 这些数据集向现有的AWSOpenData数据集种添加了一种新数据类别。
These datasets add a new category of data to the existing AWS Open Data 在传统的大数据分析中使用认知分析的主要好处是，这些数据集不需要被伪装。
The principal benefit of utilizing cognitive analytics over traditional big data analytics is that such datasets do not need to be pre-tagged.如果你想下载这些数据集，将它们拷贝到应用样例主目录的数据文件夹中。
If you want to download these datasets, copy them to data folder in the sample application main directory.这些数据集包括人类基因组项目、CommonCrawl网页语料库、维基百科数据和GoogleBooksNgrams。
These datasets include the Human Genome Project, the Common Crawl web corpus, Wikipedia data, and Google Books Ngrams.这些数据集以ARFF格式呈现。
These datasets are present in ARFF format.因此，生成这些数据集可能很昂贵。
However, the process of collecting this data can be costly.后勤基地维持这些数据集的备份功能。
Back-up function for these datasets is maintained in UNLB.公民也可以参与帮助创建和分析这些数据集。
Citizens can also be enlisted to help create and analyze these datasets.在英国，您可以通过英国数据服务访问这些数据集。
In the UK, you can access these datasets via UK Data Service.这些数据集的测试需要使用各种工具、技术和框.
Testing of these data sets would require various tools, techniques and frameworks.什么是对这些数据集的法律和伦理方面的问题？?
What are the legal and ethical aspects regarding these data sets?
