J. Open Source Softw.最新文献

mpl-interactions: A Python Package for Interactive Matplotlib Figures mpl-interactions：用于交互式 Matplotlib 图形的 Python 软件包

J. Open Source Softw. Pub Date : 2024-01-31 DOI: 10.21105/joss.05651

Ian Hunt-Isaak, John Russell, D. Hekstra

引用次数: 0

Tashaphyne: A Python package for Arabic Light Stemming Tashaphyne：用于阿拉伯语轻词干化的 Python 软件包

J. Open Source Softw. Pub Date : 2024-01-30 DOI: 10.21105/joss.06063

Taha Zerrouki

引用次数: 1

hillmaker: A Python package for occupancy analysis in discrete entity flow systems hillmaker：用于离散实体流系统占用分析的 Python 软件包

J. Open Source Softw. Pub Date : 2024-01-30 DOI: 10.21105/joss.06154

M. Isken, Jacob W. Norman

引用次数: 0

Chitin Builder: a VMD tool for the generation of structures of chitin molecular crystals for atomistic simulations 甲壳素生成器：为原子模拟生成甲壳素分子晶体结构的 VMD 工具

J. Open Source Softw. Pub Date : 2024-01-29 DOI: 10.21105/joss.05771

D. Malaspina, J. Faraudo

引用次数: 0

matscipy: materials science at the atomic scale with Python matscipy：用 Python 实现原子尺度的材料科学

J. Open Source Softw. Pub Date : 2024-01-28 DOI: 10.21105/joss.05668

P. Grigorev, L. Frérot, Fraser Birks, Adrien Gola, Jacek Golebiowski, J.-C. Griesser, J. Hörmann, Andreas Klemenz, G. Moras, W. Nöhring, Jonas A. Oldenstaedt, Punit Patel, T. Reichenbach, Thomas Rocke, Lakshmi Shenoy, M. Walter, Simon Wengert, Lei Zhang, J. Kermode, L. Pastewka

引用次数: 4

A Framework to Quality Control Oceanographic Data 海洋学数据质量控制框架

J. Open Source Softw. Pub Date : 2020-04-07 DOI: 10.21105/joss.02063

G. Castelão

{"title":"A Framework to Quality Control Oceanographic Data","authors":"G. Castelão","doi":"10.21105/joss.02063","DOIUrl":"https://doi.org/10.21105/joss.02063","url":null,"abstract":"The ocean is an intrinsically challenging environment to collect data, which makes spurious measurements inevitable. Thus, the quality of oceanographic datasets is highly dependent on the ability to identify and remove bad samples. Quality control (QC) of oceanographic data has mostly relied on manual QC by experts, which, despite resulting in the best data quality, is not scalable and becomes impractical to handle large datasets or real-time data streams. To address this issue, automatic QC procedures have been proposed and widely used for decades (e.g., IOC/IODE, 1993; DATA–MEQ working group, 2010; GTSPP Real–Time Quality Control Manual, 2010; Morello et al., 2014; QARTOD group, 2016; Wong, Keeley, Carval, & Argo Data Management Team, 2015); however, these procedures are seldom organized and distributed as packages, so it is still common for new users to have to implement them from scratch. Additionally, different applications of the same dataset may require different QC procedures. For example, a particular user faced with the QC of a small dataset might be willing to apply a less conservative QC in order to preserve a larger number of data points, paying the price of having some false positives. CoTeDe is an Open Source Python package that provides a flexible way to automatic QC oceanographic data by combining multiple QC standards while allowing the users to fully control and tune the parameters according to their own needs.","PeriodicalId":513851,"journal":{"name":"J. Open Source Softw.","volume":"115 28","pages":"2063"},"PeriodicalIF":0.0,"publicationDate":"2020-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141216284","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 11