Huang, S; Wang, Y; Xie, Y; Zhao, P; Lüers, J: OutlierFlag: A Tool for Scientific Data Quality Control by Outlier Data Flagging, Journal of Open Research Software, 4, e20 (2016), doi:http://dx.doi.org/10.5334/jors.90 [Link] | |
Abstract: Scientific datasets collected by instruments usually include outliers which have to be flagged in data quality control process. OutlierFlag was developed to make this process accurate and simple by providing a suitable outlier data flagging algorithm and a user friendly GUI. The algorithm consists of three steps performed one by one: limitation check, error check and standard deviation check. Several parameters are configurable so the algorithm can be used for various datasets. OutlierFlag is an open source software written in Java and the MeteoInfo library was used for data plotting function. |
BayCEER Colloquium: |
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Th. 2024-04-18 now Survival, 'dormancy', and resuscitation of microorganisms in water-limited environments: insights from coastal salt flats and desert soil crusts |
Th. 2024-04-18 now The Canvas of Change: Creative Marketing for Behaviour Change, Sustainability and Social Good |
BayCEER Short Courses: |
Tu. 2024-04-16 now Geographical information system and R environment for conservation biology |
Ecological-Botanical Garden: |
Fr. 2024-04-19 Führung | Gesteine im Ökologisch-Botanischen Garten |
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