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Search results for: DYNAMIKA MOLEKULARNA
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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
Open Research DataMicrobial 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
Open Research DataMicrobial 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
Open Research DataMicrobial 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
Open Research DataMicrobial 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
Open Research DataMicrobial 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
Open Research DataMicrobial 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
Open Research DataMicrobial 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
Open Research DataMicrobial 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
Open Research DataMicrobial 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
Open Research DataMicrobial 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 Dra D-mut-PBS, PBS+0.2% glucose, PBS+0.5% glucose
Open Research DataMicrobial 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-M9 + 0.5% cassaminic acids, M9 + 0.5% cassaminic acids + 0.2% glucose, M9 + 0.5% cassaminic acids + 0.5% glucose
Open Research DataMicrobial 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
Open Research DataMicrobial 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 D54-STOP-M9 + 0.5% cassaminic acids, M9 + 0.5% cassaminic acids + 0.2% glucose, M9 + 0.5% cassaminic acids + 0.5% glucose
Open Research DataMicrobial 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-LB, LB+0.2% glucose, LB+0.5% glucose
Open Research DataMicrobial 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 D54-STOP-LB, LB+0.2% glucose, LB+0.5% glucose
Open Research DataMicrobial 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 Dra D-mut-LB, LB+0.2% glucose, LB+0.5% glucose
Open Research DataMicrobial 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-LB, LB+0.2% glucose, LB+0.5% glucose
Open Research DataMicrobial 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-PBS, PBS+0.2% glucose, PBS+0.5% glucose
Open Research DataMicrobial 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 Dra D-mut-M9 + 0.5% cassaminic acids, M9 + 0.5% cassaminic acids + 0.2% glucose, M9 + 0.5% cassaminic acids + 0.5% glucose
Open Research DataMicrobial 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 D54-STOP-LB, LB+0.2% glucose, LB+0.5% glucose
Open Research DataMicrobial 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 D54-STOP-M9 + 0.5% cassaminic acids, M9 + 0.5% cassaminic acids + 0.2% glucose, M9 + 0.5% cassaminic acids + 0.5% glucose
Open Research DataMicrobial 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 D54-STOP-PBS, PBS+0.2% glucose, PBS+0.5% glucose
Open Research DataMicrobial 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-PBS, PBS+0.2% glucose, PBS+0.5% glucose
Open Research DataMicrobial 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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AeroSense Measurements: Wind Tunnel Ecole Centrale Lyon
Open Research DataData from wind tunnel tests of Aerosesne measurement system installed on NACA 63418 aerfoil in the anechoic wind tunnel at the Ecole Centrale Lyon.
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WRF-METEOPG: numerical weather forecast data for Poland - Days 218-224, Year 2021
Open Research DataWRF-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 239-245, Year 2021
Open Research DataWRF-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 225-231, Year 2021
Open Research DataWRF-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 267-273, Year 2021
Open Research DataWRF-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 281-287, Year 2021
Open Research DataWRF-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 295-301, Year 2021
Open Research DataWRF-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 211-217, Year 2021
Open Research DataWRF-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 302-308, Year 2021
Open Research DataWRF-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 253-259, Year 2021
Open Research DataWRF-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
Open Research DataWRF-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
Open Research DataWRF-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
Open Research DataWRF-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
Open Research DataWRF-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
Open Research DataWRF-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
Open Research DataWRF-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
Open Research DataWRF-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
Open Research DataWRF-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
Open Research DataWRF-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
Open Research DataWRF-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
Open Research DataWRF-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
Open Research DataWRF-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
Open Research DataWRF-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
Open Research DataWRF-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
Open Research DataWRF-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
Open Research DataWRF-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...