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Filtry wybranego katalogu
Wyniki wyszukiwania dla: WATERFRONT EVOLUTION
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The TPR reduction profile of CeO2/10wt.%Ni with BCD - 2 cycles
Dane BadawczeThe dataset includes the TPR reduction profiles of CeO2/10wt.%Ni. The samples of nanoCeO2 impregnated with BCD-assisted precursor solution (betacyclodextrin). The dataset includes two cycles of reduction (samples oxidized in between)
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The TPR reduction profile of CeO2/10wt.%Fe with BCD - 2 cycles
Dane BadawczeThe dataset includes the TPR reduction profiles of CeO2/10wt.%Fe. The samples of nanoCeO2 impregnated with BCD-assisted precursor solution (betacyclodextrin). The dataset includes two cycles of reduction (samples oxidized in between)
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The TPR reduction profile of CeO2/10wt.%Co without BCD - 2 cycles
Dane BadawczeThe dataset includes the TPR reduction profiles of CeO2/10wt.%Co. The samples of nanoCeO2 impregnated without BCD-assisted precursor solution (betacyclodextrin). The dataset includes two cycles of reduction (samples oxidized in between)
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The TPR reduction profile of CeO2/10wt.%Ni without BCD - 2 cycles
Dane BadawczeThe dataset includes the TPR reduction profiles of CeO2/10wt.%Ni. The samples of nanoCeO2 impregnated without BCD-assisted precursor solution (betacyclodextrin). The dataset includes two cycles of reduction (samples oxidized in between)
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The TPR reduction profile of CeO2/10wt.%Cu without BCD - 2 cycles
Dane BadawczeThe dataset includes the TPR reduction profiles of CeO2/10wt.%Cu. The samples of nanoCeO2 impregnated without BCD-assisted precursor solution (betacyclodextrin). The dataset includes two cycles of reduction (samples oxidized in between)
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The TPR reduction profile of CeO2/10wt.%Mn without BCD - 2 cycles
Dane BadawczeThe dataset includes the TPR reduction profiles of CeO2/10wt.%Mn. The samples of nanoCeO2 impregnated without BCD-assisted precursor solution (betacyclodextrin). The dataset includes two cycles of reduction (samples oxidized in between)
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Video data recorded on S7 road
Dane BadawczeThe set consists of video data recorded employing camera LevelOne FCS-5102. The purpose of the experiment was to gather vehicle traffic recordings in real conditions – on the S7 motorway, near Dworek village (54°14'40.0"N 18°59'59.0"E).
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Luminescence properties of TeOx thin films annealing under an oxidizing atmosphere
Dane BadawczeThe DataSet contains the emission and excitation spectra of TeOx thin films. The material was obtained by the sol-gel method. The starting solution was prepared by mixing telluric acid (precursor) with thetraetylene glycol, water, and ethanol. The sol was obtained by vigorously stirring precursor solution at 50°C for 2h, then the temperature was raised...
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SEM images of (La0.3Sr0.6Ce0.1)0.9Me0.1Ti0.9O3-δ (Me=Co, Fe, Ni) powder materials after reduction at 1000 deg.C in hydrogen
Dane BadawczeThe dataset presents SEM images of (La0.3Sr0.6Ce0.1)0.9Me0.1Ti0.9O3-δ (Me=Co, Fe, Ni) powder materials after reduction at 1000 deg.C in hydrogen. The powders were synthesized via the Pechini method. The reduction was performed in order to force the exsolution process of metallic nanoparticles.
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XPS studies of PDA-modified TiO2 nanotubes
Dane BadawczeThis dataset contains the XPS results (survey and high-resolution spectra) of the samples from TiO2 nanotubes modified with polydopamine. The studies were presented as a part of the research on "Band Gap Engineering toward Semimetallic Character of Quinone-Rich Polydopamine" (DOI: 10.1021/acs.jpcc.2c08804).
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Vident-synth: a synthetic intra-oral video dataset for optical flow estimation
Dane BadawczeWe introduce Vident-synth, a large dataset of synthetic dental videos with corresponding ground truth forward and backward optical flows and occlusion masks. It can be used for:
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Sea surface temperature in the Baltic Sea derived from Landsat 8 satellite data - path 194
Dane BadawczeThe data set contains high resolution sea surface temperature (SST) maps estimated from Landsat 8 Level 1 Thermal Infrared Sensor (TIRS) data using NLSST algorithm. SST was calculated only for granules (185 x 180 km) from satellite path number 194, that covered at least 2000 km2 of the cloud-free area of the Baltic Sea.
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Sea surface temperature in the Baltic Sea derived from Landsat 8 satellite data - path 192
Dane BadawczeThe data set contains high resolution sea surface temperature (SST) maps estimated from Landsat 8 Level 1 Thermal Infrared Sensor (TIRS) data using NLSST algorithm. SST was calculated only for granules (185 x 180 km) from satellite path number 192, that covered at least 2000 km2 of the cloud-free area of the Baltic Sea.
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Sea surface temperature in the Baltic Sea derived from Landsat 8 satellite data - path 191
Dane BadawczeThe data set contains high resolution sea surface temperature (SST) maps estimated from Landsat 8 Level 1 Thermal Infrared Sensor (TIRS) data using NLSST algorithm. SST was calculated only for granules (185 x 180 km) from satellite path number 191, that covered at least 2000 km2 of the cloud-free area of the Baltic Sea.
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Sea surface temperature in the Baltic Sea derived from Landsat 8 satellite data - path 193
Dane BadawczeThe data set contains high resolution sea surface temperature (SST) maps estimated from Landsat 8 Level 1 Thermal Infrared Sensor (TIRS) data using NLSST algorithm. SST was calculated only for granules (185 x 180 km) from satellite path number 193, that covered at least 2000 km2 of the cloud-free area of the Baltic Sea.
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Sea surface temperature in the Baltic Sea derived from Landsat 8 satellite data - path 190
Dane BadawczeThe data set contains high resolution sea surface temperature (SST) maps estimated from Landsat 8 Level 1 Thermal Infrared Sensor (TIRS) data using NLSST algorithm. SST was calculated only for granules (185 x 180 km) from satellite path number 190, that covered at least 2000 km2 of the cloud-free area of the Baltic Sea.
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The XRD diffraction patterns of as-preapred (La0.3Sr0.6Ce0.1)0.9FexTi(1-x)O3-δ (x=0.1, 0.2 and 0.3) materials
Dane BadawczeThe (La0.3Sr0.6Ce0.1)0.9FexTi(1-x)O3-δ (x=0.1, 0.2 and 0.3) materials were synthesized via the Pechini method. First, the reagents in the form of nitrates were weighed and dissolved in DI water. In another beaker, a stoichiometric amount of titanium (IV) butoxide (Ti(OBu)4) was mixed together with reagent-grade ethylene glycol (EG), and citric acid...
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The XRD diffraction patterns of as-prepared (La0.3Sr0.6Ce0.1)0.9Me0.1Ti0.9O3-δ (Me= Co, Fe, Ni) materials
Dane BadawczeThe (La0.3Sr0.6Ce0.1)0.9Me0.1Ti0.9O3-δ (Me= Co, Fe, Ni) materials were synthesized via the Pechini method. First, the reagents in the form of nitrates were weighed and dissolved in DI water. In another beaker, a stoichiometric amount of titanium (IV) butoxide (Ti(OBu)4) was mixed together with reagent-grade ethylene glycol (EG), and citric acid (CA)...
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The XRD diffraction patterns of as-prepared (La0.3Sr0.6Ce0.1)0.9Ni0.05Me0.05Ti0.9O3-δ (Me= Co, Fe, Cu) materials
Dane BadawczeThe ((La0.3Sr0.6Ce0.1)0.9Ni0.05Me0.05Ti0.9O3-δ (Me= Co, Fe, Cu) materials were synthesized via the Pechini method. First, the reagents in the form of nitrates were weighed and dissolved in DI water. In another beaker, a stoichiometric amount of titanium (IV) butoxide (Ti(OBu)4) was mixed together with reagent-grade ethylene glycol (EG), and citric acid...
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The XRD diffraction patterns of as-prepared (La0.3Sr0.6Ce0.1)0.9FexMeyTi(1-x-y)O3-δ materials (Me=Ni,Co)
Dane BadawczeThe (La0.3Sr0.6Ce0.1)0.9FexMeyTi(1-x-y)O3-δ materials (Me=Ni,Co) were synthesized via the Pechini method. First, the reagents in the form of nitrates were weighed and dissolved in DI water. In another beaker, a stoichiometric amount of titanium (IV) butoxide (Ti(OBu)4) was mixed together with reagent-grade ethylene glycol (EG), and citric acid (CA)...
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Thermal behavior of TeOx xerogel powder under different atmospheres
Dane BadawczeThe DataSet contains the results of the thermal behavior of the TeOx xerogel powder measured under different atmospheres. The material was obtained by the sol-gel method. The starting solution was prepared by mixing telluric acid (precursor) with thetraetylene glycol, water, and ethanol. The sol was obtained by vigorously stirring precursor solution...
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Luminescence properties of TeOx-Eu thin films
Dane BadawczeThe DataSet contains the emission and excitation spectra of TeOx-Eu thin films. The material was obtained by the sol-gel method. The starting solution was prepared by mixing telluric acid (precursor) with thetraetylene glycol, water, and ethanol. Next, the 5% mol of europium ions were added, the nitrates were used as a source of rare-earth ions. The...
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Luminescence properties of TeOx-Tb thin films
Dane BadawczeThe DataSet contains the emission and excitation spectra of TeOx-Tb thin films. The material was obtained by the sol-gel method. The starting solution was prepared by mixing telluric acid (precursor) with thetraetylene glycol, water, and ethanol. Next, the 5% mol of terbium ions were added, the nitrates were used as a source of rare-earth ions. The...
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Luminescence properties of TeOx-Dy thin films
Dane BadawczeThe DataSet contains the emission and excitation spectra of TeOx-Dy thin films. The material was obtained by the sol-gel method. The starting solution was prepared by mixing telluric acid (precursor) with thetraetylene glycol, water, and ethanol. Next, the 5% mol of dysprosium ions were added, the nitrates were used as a source of rare-earth ions....
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The photocatalytic activity of MoS2 electrodes under sunlight illumination
Dane BadawczeThis dataset contains the results of the photocatalytic activities of the MoS2 and MoS2 modified by SnO2 were assessed through the photocatalytic reduction of Cr6+ under the sunlight illumination. In the experiment, 20 mg of the catalyst was distributed in the K2Cr2O7 aqueous solution (50 mL, 100 mg•L-1). The mixed solution was stirred for 30 min to...
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SEM images of (La0.3Sr0.6Ce0.1)0.9(Me1Me2Ti)O3-δ (Me1,Me2=Co, Fe, Ni) powder materials after reduction at 1000 deg.C in hydrogen
Dane BadawczeThe dataset presents SEM images of (La0.3Sr0.6Ce0.1)0.9(Me1Me2Ti)O3-δ (Me1,Me2=Co, Fe, Ni) powder materials after reduction at 1000 deg.C in hydrogen. The powders were synthesized via the Pechini method. The reduction was performed to force the exsolution process of bimetallic nanoparticles.
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WRF-METEOPG: numerical weather forecast data for Poland - Days 218-224, 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 239-245, 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 225-231, 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 267-273, 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 281-287, 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 295-301, 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 211-217, 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 302-308, 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 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 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...