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Trendylyzer: a long-term trend analysis on biogeographic data

Authors
Publication Date
Keywords
  • Biogeography
  • Biological Data
  • Trend Analysis
Disciplines
  • Biology
  • Design
  • Earth Science
  • Geography

Abstract

ISTITUTO NAZIONALE DI OCEANOGRAFIA catalogo "BGTA set. 2013" 320 pagine 13 VOLTA (sedicesimo) flags, based on quality control tests, data processing history or other important data provenance details. The design of the IODE QF scheme was based upon an extensive review of existing quality flag schemes. None of the reviewed schemes met all advantages stated below. The advantages of this two-level scheme are described below. ■ A small and fixed number of unambiguous flags at the primary level can be justified by the details in the second level. ■ Primary level flag values are numeric and ordered such that increasing quality flag values indicate a decreasing level of quality. This supports the identification of all data that meet a minimum quality level and assignment of quality flags to calculated parameters. ■ The scheme is universal; it can be applied to all types of data enabling exchange and integration of multi-disciplinary data. ■ Existing QF schemes can be mapped to the proposed scheme with no information loss. This is especially true when information on the applied tests is delivered by data providers. ■ If data sets with different QF schemes are merged into one data set, all pre-existing quality flags can be preserved and it is possible to apply new quality tests to the merged data and reflect those results in the two-level IODE QF scheme as well. The IODE QF scheme was recommended for adoption as a standard at the IODE XXII conference in March 2013 (Recommendation IODE-XXII.5; IOC/IODE-XXII/3 Report, 2013). While the main intent of the IODE QF scheme is to facilitate the exchange and integration of oceanographic and marine meteorological data, there is also the possibility that data managers, curators and archivists who do not already use a QF scheme may choose to adopt this one. Acknowledgements. The authors gratefully acknowledge the support for several workshops on the Quality Control of Chemical Oceanographic Data Collections that

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