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arXiv 2005.07544cs.DLcs.DB
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数据科学时代的分子光谱数据参考源:应用于HITRAN和AMBDAS数据库

Referencing Sources of Molecular Spectroscopic Data in the Era of Data Science: Application to the HITRAN and AMBDAS Databases

Frances M. Skinner, Iouli E. Gordon, Christian Hill, Robert J. Hargreaves, Kelly E. Lockhart, Laurence S. Rothman

摘要:

所描述的应用程序已被设计成在具有不同来源的大型数据库中自动创建书目条目,这减少了错误的频率和管理员的工作量。这个新系统通过其数字对象标识符(DOI)唯一识别每个参考文献,并从多个在线服务中的任何一个检索相应的书目信息,包括SAO/NASA天体物理数据系统(ADS)和CrossRef API。一旦被解析成关系数据库,该软件就能够以几种格式中的任何一种生成书目,包括HTML和BibTeX,供网站或印刷品使用。该应用程序免费提供,供任何科学数据库普遍使用。当用于填充HITRAN和AMBDAS数据库的参考数据作为测试用例时,该应用程序的功能得到了证明。HITRAN包含由整个光谱社区的研究人员和合作者提供的数据。这些贡献者通过HITRAN在线搜索返回的数据以及产生的书目对其贡献进行认证。在本文介绍的工作之前,HITRAN和AMBDAS手动创建这些书目,这是一个繁琐、耗时且容易出错的过程。新参考系统的完整代码可在\url{https://github.com/hitranonline/refs}中找到。

英文摘要:

The application described has been designed to create bibliographic entries in large databases with diverse sources automatically, which reduces both the frequency of mistakes and the workload for the administrators. This new system uniquely identifies each reference from its digital object identifier (DOI) and retrieves the corresponding bibliographic information from any of several online services, including the SAO/NASA Astrophysics Data Systems (ADS) and CrossRef APIs. Once parsed into a relational database, the software is able to produce bibliographies in any of several formats, including HTML and BibTeX, for use on websites or printed articles. The application is provided free-of-charge for general use by any scientific database. The power of this application is demonstrated when used to populate reference data for the HITRAN and AMBDAS databases as test cases. HITRAN contains data that is provided by researchers and collaborators throughout the spectroscopic community. These contributors are accredited for their contributions through the bibliography produced alongside the data returned by an online search in HITRAN. Prior to the work presented here, HITRAN and AMBDAS created these bibliographies manually, which is a tedious, time-consuming and error-prone process. The complete code for the new referencing system can be found at \url{https://github.com/hitranonline/refs}.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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