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Wyniki wyszukiwania dla: spiking dynamics
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WRF-METEOPG: numerical weather forecast data for Poland - Days 253-259, Year 2021
Dane BadawczeWRF-METEOPG is a numerical weather forecast system developed at the Faculty of Civil and Environmental Engineering, Gdansk University of Technology, Poland. The system was built on the basis of the Weather Research and Forecast model version 4.2 and implemented at Centre of Informatics Tricity Academic Supercomputer & Network. Physics parametrization...
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WRF-METEOPG: numerical weather forecast data for Poland - Days 274-280, Year 2021
Dane BadawczeWRF-METEOPG is a numerical weather forecast system developed at the Faculty of Civil and Environmental Engineering, Gdansk University of Technology, Poland. The system was built on the basis of the Weather Research and Forecast model version 4.2 and implemented at Centre of Informatics Tricity Academic Supercomputer & Network. Physics parametrization...
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WRF-METEOPG: numerical weather forecast data for Poland - Days 246-252, Year 2021
Dane BadawczeWRF-METEOPG is a numerical weather forecast system developed at the Faculty of Civil and Environmental Engineering, Gdansk University of Technology, Poland. The system was built on the basis of the Weather Research and Forecast model version 4.2 and implemented at Centre of Informatics Tricity Academic Supercomputer & Network. Physics parametrization...
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WRF-METEOPG: numerical weather forecast data for Poland - Days 288-294, Year 2021
Dane BadawczeWRF-METEOPG is a numerical weather forecast system developed at the Faculty of Civil and Environmental Engineering, Gdansk University of Technology, Poland. The system was built on the basis of the Weather Research and Forecast model version 4.2 and implemented at Centre of Informatics Tricity Academic Supercomputer & Network. Physics parametrization...
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WRF-METEOPG: numerical weather forecast data for Poland - Days 260-266, Year 2021
Dane BadawczeWRF-METEOPG is a numerical weather forecast system developed at the Faculty of Civil and Environmental Engineering, Gdansk University of Technology, Poland. The system was built on the basis of the Weather Research and Forecast model version 4.2 and implemented at Centre of Informatics Tricity Academic Supercomputer & Network. Physics parametrization...
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WRF-METEOPG: numerical weather forecast data for Poland - Days 232-238, Year 2021
Dane BadawczeWRF-METEOPG is a numerical weather forecast system developed at the Faculty of Civil and Environmental Engineering, Gdansk University of Technology, Poland. The system was built on the basis of the Weather Research and Forecast model version 4.2 and implemented at Centre of Informatics Tricity Academic Supercomputer & Network. Physics parametrization...
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WRF-METEOPG: numerical weather forecast data for Poland - Days 204-210, Year 2021
Dane BadawczeWRF-METEOPG is a numerical weather forecast system developed at the Faculty of Civil and Environmental Engineering, Gdansk University of Technology, Poland. The system was built on the basis of the Weather Research and Forecast model version 4.2 and implemented at Centre of Informatics Tricity Academic Supercomputer & Network. Physics parametrization...
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WRF-METEOPG: numerical weather forecast data for Poland - Days 1-7, Year 2021
Dane BadawczeWRF-METEOPG is a numerical weather forecast system developed at the Faculty of Civil and Environmental Engineering, Gdansk University of Technology, Poland. The system was built on the basis of the Weather Research and Forecast model version 4.2 and implemented at Centre of Informatics Tricity Academic Supercomputer & Network. Physics parametrization...
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WRF-METEOPG: numerical weather forecast data for Poland - Days 71-77, Year 2021
Dane BadawczeWRF-METEOPG is a numerical weather forecast system developed at the Faculty of Civil and Environmental Engineering, Gdansk University of Technology, Poland. The system was built on the basis of the Weather Research and Forecast model version 4.2 and implemented at Centre of Informatics Tricity Academic Supercomputer & Network. Physics parametrization...
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WRF-METEOPG: numerical weather forecast data for Poland - Days 36-42, Year 2021
Dane BadawczeWRF-METEOPG is a numerical weather forecast system developed at the Faculty of Civil and Environmental Engineering, Gdansk University of Technology, Poland. The system was built on the basis of the Weather Research and Forecast model version 4.2 and implemented at Centre of Informatics Tricity Academic Supercomputer & Network. Physics parametrization...
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WRF-METEOPG: numerical weather forecast data for Poland - Days 57-63, Year 2021
Dane BadawczeWRF-METEOPG is a numerical weather forecast system developed at the Faculty of Civil and Environmental Engineering, Gdansk University of Technology, Poland. The system was built on the basis of the Weather Research and Forecast model version 4.2 and implemented at Centre of Informatics Tricity Academic Supercomputer & Network. Physics parametrization...
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WRF-METEOPG: numerical weather forecast data for Poland - Days 78-84, Year 2021
Dane BadawczeWRF-METEOPG is a numerical weather forecast system developed at the Faculty of Civil and Environmental Engineering, Gdansk University of Technology, Poland. The system was built on the basis of the Weather Research and Forecast model version 4.2 and implemented at Centre of Informatics Tricity Academic Supercomputer & Network. Physics parametrization...
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WRF-METEOPG: numerical weather forecast data for Poland - Days 85-91, Year 2021
Dane BadawczeWRF-METEOPG is a numerical weather forecast system developed at the Faculty of Civil and Environmental Engineering, Gdansk University of Technology, Poland. The system was built on the basis of the Weather Research and Forecast model version 4.2 and implemented at Centre of Informatics Tricity Academic Supercomputer & Network. Physics parametrization...
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WRF-METEOPG: numerical weather forecast data for Poland - Days 8-14, Year 2021
Dane BadawczeWRF-METEOPG is a numerical weather forecast system developed at the Faculty of Civil and Environmental Engineering, Gdansk University of Technology, Poland. The system was built on the basis of the Weather Research and Forecast model version 4.2 and implemented at Centre of Informatics Tricity Academic Supercomputer & Network. Physics parametrization...
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WRF-METEOPG: numerical weather forecast data for Poland - Days 50-56, Year 2021
Dane BadawczeWRF-METEOPG is a numerical weather forecast system developed at the Faculty of Civil and Environmental Engineering, Gdansk University of Technology, Poland. The system was built on the basis of the Weather Research and Forecast model version 4.2 and implemented at Centre of Informatics Tricity Academic Supercomputer & Network. Physics parametrization...
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WRF-METEOPG: numerical weather forecast data for Poland - Days 22-28, Year 2021
Dane BadawczeWRF-METEOPG is a numerical weather forecast system developed at the Faculty of Civil and Environmental Engineering, Gdansk University of Technology, Poland. The system was built on the basis of the Weather Research and Forecast model version 4.2 and implemented at Centre of Informatics Tricity Academic Supercomputer & Network. Physics parametrization...
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WRF-METEOPG: numerical weather forecast data for Poland - Days 64-70, Year 2021
Dane BadawczeWRF-METEOPG is a numerical weather forecast system developed at the Faculty of Civil and Environmental Engineering, Gdansk University of Technology, Poland. The system was built on the basis of the Weather Research and Forecast model version 4.2 and implemented at Centre of Informatics Tricity Academic Supercomputer & Network. Physics parametrization...
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WRF-METEOPG: numerical weather forecast data for Poland - Days 29-35, Year 2021
Dane BadawczeWRF-METEOPG is a numerical weather forecast system developed at the Faculty of Civil and Environmental Engineering, Gdansk University of Technology, Poland. The system was built on the basis of the Weather Research and Forecast model version 4.2 and implemented at Centre of Informatics Tricity Academic Supercomputer & Network. Physics parametrization...
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WRF-METEOPG: numerical weather forecast data for Poland - Days 43-49, Year 2021
Dane BadawczeWRF-METEOPG is a numerical weather forecast system developed at the Faculty of Civil and Environmental Engineering, Gdansk University of Technology, Poland. The system was built on the basis of the Weather Research and Forecast model version 4.2 and implemented at Centre of Informatics Tricity Academic Supercomputer & Network. Physics parametrization...
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WRF-METEOPG: numerical weather forecast data for Poland - Days 15-21, Year 2021
Dane BadawczeWRF-METEOPG is a numerical weather forecast system developed at the Faculty of Civil and Environmental Engineering, Gdansk University of Technology, Poland. The system was built on the basis of the Weather Research and Forecast model version 4.2 and implemented at Centre of Informatics Tricity Academic Supercomputer & Network. Physics parametrization...
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WRF-METEOPG: numerical weather forecast data for Poland - Days 99-105, Year 2021
Dane BadawczeWRF-METEOPG is a numerical weather forecast system developed at the Faculty of Civil and Environmental Engineering, Gdansk University of Technology, Poland. The system was built on the basis of the Weather Research and Forecast model version 4.2 and implemented at Centre of Informatics Tricity Academic Supercomputer & Network. Physics parametrization...
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WRF-METEOPG: numerical weather forecast data for Poland - Days 113-119, Year 2021
Dane BadawczeWRF-METEOPG is a numerical weather forecast system developed at the Faculty of Civil and Environmental Engineering, Gdansk University of Technology, Poland. The system was built on the basis of the Weather Research and Forecast model version 4.2 and implemented at Centre of Informatics Tricity Academic Supercomputer & Network. Physics parametrization...
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WRF-METEOPG: numerical weather forecast data for Poland - Days 141-147, Year 2021
Dane BadawczeWRF-METEOPG is a numerical weather forecast system developed at the Faculty of Civil and Environmental Engineering, Gdansk University of Technology, Poland. The system was built on the basis of the Weather Research and Forecast model version 4.2 and implemented at Centre of Informatics Tricity Academic Supercomputer & Network. Physics parametrization...
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WRF-METEOPG: numerical weather forecast data for Poland - Days 134-140, Year 2021
Dane BadawczeWRF-METEOPG is a numerical weather forecast system developed at the Faculty of Civil and Environmental Engineering, Gdansk University of Technology, Poland. The system was built on the basis of the Weather Research and Forecast model version 4.2 and implemented at Centre of Informatics Tricity Academic Supercomputer & Network. Physics parametrization...
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WRF-METEOPG: numerical weather forecast data for Poland - Days 92-98, Year 2021
Dane BadawczeWRF-METEOPG is a numerical weather forecast system developed at the Faculty of Civil and Environmental Engineering, Gdansk University of Technology, Poland. The system was built on the basis of the Weather Research and Forecast model version 4.2 and implemented at Centre of Informatics Tricity Academic Supercomputer & Network. Physics parametrization...
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WRF-METEOPG: numerical weather forecast data for Poland - Days 162-168, Year 2021
Dane BadawczeWRF-METEOPG is a numerical weather forecast system developed at the Faculty of Civil and Environmental Engineering, Gdansk University of Technology, Poland. The system was built on the basis of the Weather Research and Forecast model version 4.2 and implemented at Centre of Informatics Tricity Academic Supercomputer & Network. Physics parametrization...
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WRF-METEOPG: numerical weather forecast data for Poland - Days 169-175, Year 2021
Dane BadawczeWRF-METEOPG is a numerical weather forecast system developed at the Faculty of Civil and Environmental Engineering, Gdansk University of Technology, Poland. The system was built on the basis of the Weather Research and Forecast model version 4.2 and implemented at Centre of Informatics Tricity Academic Supercomputer & Network. Physics parametrization...
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WRF-METEOPG: numerical weather forecast data for Poland - Days 120-126, Year 2021
Dane BadawczeWRF-METEOPG is a numerical weather forecast system developed at the Faculty of Civil and Environmental Engineering, Gdansk University of Technology, Poland. The system was built on the basis of the Weather Research and Forecast model version 4.2 and implemented at Centre of Informatics Tricity Academic Supercomputer & Network. Physics parametrization...
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WRF-METEOPG: numerical weather forecast data for Poland - Days 148-154, Year 2021
Dane BadawczeWRF-METEOPG is a numerical weather forecast system developed at the Faculty of Civil and Environmental Engineering, Gdansk University of Technology, Poland. The system was built on the basis of the Weather Research and Forecast model version 4.2 and implemented at Centre of Informatics Tricity Academic Supercomputer & Network. Physics parametrization...
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WRF-METEOPG: numerical weather forecast data for Poland - Days 155-161, Year 2021
Dane BadawczeWRF-METEOPG is a numerical weather forecast system developed at the Faculty of Civil and Environmental Engineering, Gdansk University of Technology, Poland. The system was built on the basis of the Weather Research and Forecast model version 4.2 and implemented at Centre of Informatics Tricity Academic Supercomputer & Network. Physics parametrization...
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WRF-METEOPG: numerical weather forecast data for Poland - Days 127-133, Year 2021
Dane BadawczeWRF-METEOPG is a numerical weather forecast system developed at the Faculty of Civil and Environmental Engineering, Gdansk University of Technology, Poland. The system was built on the basis of the Weather Research and Forecast model version 4.2 and implemented at Centre of Informatics Tricity Academic Supercomputer & Network. Physics parametrization...
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WRF-METEOPG: numerical weather forecast data for Poland - Days 106-112, Year 2021
Dane BadawczeWRF-METEOPG is a numerical weather forecast system developed at the Faculty of Civil and Environmental Engineering, Gdansk University of Technology, Poland. The system was built on the basis of the Weather Research and Forecast model version 4.2 and implemented at Centre of Informatics Tricity Academic Supercomputer & Network. Physics parametrization...
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WRF-METEOPG: numerical weather forecast data for Poland - Days 197-203, Year 2021
Dane BadawczeWRF-METEOPG is a numerical weather forecast system developed at the Faculty of Civil and Environmental Engineering, Gdansk University of Technology, Poland. The system was built on the basis of the Weather Research and Forecast model version 4.2 and implemented at Centre of Informatics Tricity Academic Supercomputer & Network. Physics parametrization...
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WRF-METEOPG: numerical weather forecast data for Poland - Days 190-196, Year 2021
Dane BadawczeWRF-METEOPG is a numerical weather forecast system developed at the Faculty of Civil and Environmental Engineering, Gdansk University of Technology, Poland. The system was built on the basis of the Weather Research and Forecast model version 4.2 and implemented at Centre of Informatics Tricity Academic Supercomputer & Network. Physics parametrization...
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WRF-METEOPG: numerical weather forecast data for Poland - Days 183-189, Year 2021
Dane BadawczeWRF-METEOPG is a numerical weather forecast system developed at the Faculty of Civil and Environmental Engineering, Gdansk University of Technology, Poland. The system was built on the basis of the Weather Research and Forecast model version 4.2 and implemented at Centre of Informatics Tricity Academic Supercomputer & Network. Physics parametrization...
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WRF-METEOPG: numerical weather forecast data for Poland - Days 176-182, Year 2021
Dane BadawczeWRF-METEOPG is a numerical weather forecast system developed at the Faculty of Civil and Environmental Engineering, Gdansk University of Technology, Poland. The system was built on the basis of the Weather Research and Forecast model version 4.2 and implemented at Centre of Informatics Tricity Academic Supercomputer & Network. Physics parametrization...
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Detailed results of shaping personnel risk factors in enterprise C
Dane BadawczeThe data presents the shape of all the researched personnel risk factors in the C enterprise (which was tested by the author). Further considerations should be started with the presentation of the synthesis of the obtained results, which is presented in this research data.
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Study of the influence of medium composition on motility and aggregation of recombinant Escherichia coli strain AAEC191A/pCC90 D54-STOP-PBS, PBS+0.2% glucose, PBS+0.5% glucose
Dane BadawczeMicrobial motility is a fundamental aspect of many microbial life cycles and is a key survival mechanism that enables microorganisms to navigate diverse and dynamic environmental conditions. This phenomenon becomes particularly important in response to changes in stimuli in time and space. The following experiment aimed to investigate how the composition...
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Study of the influence of medium composition on motility and aggregation of recombinant Escherichia coli strain BL21(DE3)/pACYCpBAD-PBS, PBS+0.2% glucose, PBS+0.5% glucose
Dane BadawczeMicrobial motility is a fundamental aspect of many microbial life cycles and is a key survival mechanism that enables microorganisms to navigate diverse and dynamic environmental conditions. This phenomenon becomes particularly important in response to changes in stimuli in time and space. The following experiment aimed to investigate how the composition...
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Study of the influence of medium composition on motility and aggregation of recombinant Escherichia coli strain AAEC191A/pCC90 Dra D-mut-PBS, PBS+0.2% glucose, PBS+0.5% glucose
Dane BadawczeMicrobial motility is a fundamental aspect of many microbial life cycles and is a key survival mechanism that enables microorganisms to navigate diverse and dynamic environmental conditions. This phenomenon becomes particularly important in response to changes in stimuli in time and space. The following experiment aimed to investigate how the composition...
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Study of the influence of medium composition on the motility and aggregation of the recombinant Escherichia coli strain AAEC191A/pACYCpBAD-LB, LB+0.2% glucose, LB+0.5% glucose
Dane BadawczeMicrobial motility is a fundamental aspect of many microbial life cycles and is a key survival mechanism that enables microorganisms to navigate diverse and dynamic environmental conditions. This phenomenon becomes particularly important in response to changes in stimuli in time and space. The following experiment aimed to investigate how the composition...
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Study of the influence of medium composition on the motility and aggregation of the recombinant Escherichia coli strain AAEC191A/pACYCpBAD-PBS, PBS+0.2% glucose, PBS+0.5% glucose
Dane BadawczeMicrobial motility is a fundamental aspect of many microbial life cycles and is a key survival mechanism that enables microorganisms to navigate diverse and dynamic environmental conditions. This phenomenon becomes particularly important in response to changes in stimuli in time and space. The following experiment aimed to investigate how the composition...
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Study of the influence of medium composition on motility and aggregation of recombinant Escherichia coli strain AAEC191A/pCC90 Dra D-mut-M9 + 0.5% cassaminic acids, M9 + 0.5% cassaminic acids + 0.2% glucose, M9 + 0.5% cassaminic acids + 0.5% glucose
Dane BadawczeMicrobial motility is a fundamental aspect of many microbial life cycles and is a key survival mechanism that enables microorganisms to navigate diverse and dynamic environmental conditions. This phenomenon becomes particularly important in response to changes in stimuli in time and space. The following experiment aimed to investigate how the composition...
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Study of the influence of medium composition on motility and aggregation of recombinant Escherichia coli strain BL21(DE3)/pCC90-M9 + 0.5% cassaminic acids, M9 + 0.5% cassaminic acids + 0.2% glucose, M9 + 0.5% cassaminic acids + 0.5% glucose
Dane BadawczeMicrobial motility is a fundamental aspect of many microbial life cycles and is a key survival mechanism that enables microorganisms to navigate diverse and dynamic environmental conditions. This phenomenon becomes particularly important in response to changes in stimuli in time and space. The following experiment aimed to investigate how the composition...
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Study of the influence of medium composition on motility and aggregation of recombinant Escherichia coli strain BL21(DE3)/pACYCpBAD-M9 + 0.5% cassaminic acids, M9 + 0.5% cassaminic acids + 0.2% glucose, M9 + 0.5% cassaminic acids + 0.5% glucose
Dane BadawczeMicrobial motility is a fundamental aspect of many microbial life cycles and is a key survival mechanism that enables microorganisms to navigate diverse and dynamic environmental conditions. This phenomenon becomes particularly important in response to changes in stimuli in time and space. The following experiment aimed to investigate how the composition...
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Study of the influence of medium composition on motility and aggregation of recombinant Escherichia coli strain BL21(DE3)/pACYCpBAD-LB, LB+0.2% glucose, LB+0.5% glucose
Dane BadawczeMicrobial motility is a fundamental aspect of many microbial life cycles and is a key survival mechanism that enables microorganisms to navigate diverse and dynamic environmental conditions. This phenomenon becomes particularly important in response to changes in stimuli in time and space. The following experiment aimed to investigate how the composition...
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Study of the influence of medium composition on the motility and aggregation of the recombinant Escherichia coli strain AAEC191A/pACYCpBAD-M9 + 0.5% cassaminic acids, M9 + 0.5% cassaminic acids + 0.2% glucose, M9 + 0.5% cassaminic acids + 0.5% glucose
Dane BadawczeMicrobial motility is a fundamental aspect of many microbial life cycles and is a key survival mechanism that enables microorganisms to navigate diverse and dynamic environmental conditions. This phenomenon becomes particularly important in response to changes in stimuli in time and space. The following experiment aimed to investigate how the composition...
-
Study of the influence of medium composition on motility and aggregation of recombinant Escherichia coli strain BL21(DE3)/pCC90 Dra D-mut-PBS, PBS+0.2% glucose, PBS+0.5% glucose
Dane BadawczeMicrobial motility is a fundamental aspect of many microbial life cycles and is a key survival mechanism that enables microorganisms to navigate diverse and dynamic environmental conditions. This phenomenon becomes particularly important in response to changes in stimuli in time and space. The following experiment aimed to investigate how the composition...
-
Study of the influence of medium composition on motility and aggregation of recombinant Escherichia coli strain AAEC191A/pCC90-M9 + 0.5% cassaminic acids, M9 + 0.5% cassaminic acids + 0.2% glucose, M9 + 0.5% cassaminic acids + 0.5% glucose
Dane BadawczeMicrobial motility is a fundamental aspect of many microbial life cycles and is a key survival mechanism that enables microorganisms to navigate diverse and dynamic environmental conditions. This phenomenon becomes particularly important in response to changes in stimuli in time and space. The following experiment aimed to investigate how the composition...
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Study of the influence of medium composition on motility and aggregation of recombinant Escherichia coli strain AAEC191A/pCC90-LB, LB+0.2% glucose, LB+0.5% glucose
Dane BadawczeMicrobial motility is a fundamental aspect of many microbial life cycles and is a key survival mechanism that enables microorganisms to navigate diverse and dynamic environmental conditions. This phenomenon becomes particularly important in response to changes in stimuli in time and space. The following experiment aimed to investigate how the composition...