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dispel4py: An agile framework for data-intensive escience
We present dispel4py a versatile data-intensive kit presented as a standard Python library. It em...
Rosa Filgueira, Alessandro Spinuso | Journal: IEEE 11th International Conference on e-Science | Year: 2015 | doi: https://doi.org/10.1109/eScience.2015.40
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Zesdaagse verwachting van fijn stof met LOTOS-EUROS ten behoeve van Dynamax. Eindrapportage.
Als onderdeel van het project Dynamische Maximumsnelheden onderzoekt Rijkswaterstaat het effect v...
MS de Ruyter de Wildt, H Eskes, PFJ van Velthoven | Year: 2010 | Pages: 20
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Higher-order calibration on WindRAD (Wind Radar) scatterometer winds
WindRAD (Wind Radar) is a dual-frequency rotating fan-beam scatterometer instrument on the FY-3E ...
Zhen Li, Ad Stoffelen, Anton Verhoef, Zhixiong Wang, Jian Shang, Honggang Yin | Journal: Atmospheric Measurement Techniques | Volume: 16 | Year: 2023 | First page: 4769 | Last page: 4783 | doi: https://doi.org/10.5194/amt-16-4769-2023
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Aardbevingen - Wat beweegt de aarde
Aardbevingen, een fenomeen waar iedereen wel eens, gewild of ongewild, mee geconfronteerd wordt. ...
HW Haak, FH Goutbeek | Year: 2005 | Pages: 52
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Time series transformation tool: description of the program to generate time series consistent with the KNMI'06 climate scenarios
Parallel to the development of the KNMI’06 climate scenarios in 2006 a tool was developed to gene...
A Bakker, J Bessembinder | Year: 2012 | Pages: 75
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