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Wyniki wyszukiwania dla: MICRO/NANO-SCALE
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Imaging of the effects of pitting corrosion with the use of AFM
Dane BadawczePitting corrosion is a local attack on a metal surface, limited to a point or small area, which appears as a hole. Pitting corrosion is one of the most harmful forms of corrosion due to the fact that it is associated with small, difficult to detect damage, that can even lead to perforation of the structure. A single pit may range in size from micrometers...
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Images of apples for the use of the Viola-Jones method. Data set no. 2 - grey scale
Dane BadawczeThe database contains pictures of apples made at different angles, from different sides and containing different varieties. In this way, two bases of apple images were created (each database contains 1,100 images). This set is data set no. 2 - grey scale: processed images in shades of gray. The photos were prepared for the best possible detection process...
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Testing HIADAC high impedance analyzer in cooperation with Road and Bridge Research Institute on nano-nickel based coating using 2-wire probe sample 2
Dane BadawczeThe dataset presents impedance spectrum of nano-nickel based coating sample 2. This object was used to test high-impedance analyzer for diagnostic of anticorossion coatings (HIADAC) realized in the frame of Eureka project E!3174. The impedance spectrum frequency range (0.1 Hz – 100 kHz) was selected in order to test the whole measureement range of...
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Testing HIADAC high impedance analyzer in cooperation with Road and Bridge Research Institute on nano-nickel based coating using 2-wire probe sample 1
Dane BadawczeThe dataset presents impedance spectrum of nano-nickel based coating sample 1. This object was used to test high-impedance analyzer for diagnostic of anticorossion coatings (HIADAC) realized in the frame of Eureka project E!3174. The impedance spectrum frequency range (0.1 Hz – 100 kHz) was selected in order to test the whole measureement range of...
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Ultrasonic wave propagation, digital image correlation and X-ray micro-computed tomography measurements of concrete during splitting (cube #3)
Dane BadawczeThe DataSet contains the results of the mechanical behaviour of a concrete cube under the splitting test. The cube had dimensions 70 x 70 x 70 cm3 and was made of concrete with the following ingredients: cement type CEM I 42.5R (330 kg/m3), water (165 kg/m3), aggregate 0/2 mm (710 kg/m3), aggregate 2/8 mm (664 kg/m3), aggregate 8/16 mm (500 kg/m3),...
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Ultrasonic wave propagation, digital image correlation and X-ray micro-computed tomography measurements of concrete during splitting (cube #1)
Dane BadawczeThe DataSet contains the results of the mechanical behaviour of a concrete cube under the splitting test. The cube had dimensions 70 x 70 x 70 cm3 and was made of concrete with the following ingredients: cement type CEM I 42.5R (330 kg/m3), water (165 kg/m3), aggregate 0/2 mm (710 kg/m3), aggregate 2/8 mm (664 kg/m3), aggregate 8/16 mm (500 kg/m3),...
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Ultrasonic wave propagation, digital image correlation and X-ray micro-computed tomography measurements of concrete during splitting (cube #4)
Dane BadawczeThe DataSet contains the results of the mechanical behaviour of a concrete cube under the splitting test. The cube had dimensions 70 x 70 x 70 cm3 and was made of concrete with the following ingredients: cement type CEM I 42.5R (330 kg/m3), water (165 kg/m3), aggregate 0/2 mm (710 kg/m3), aggregate 2/8 mm (664 kg/m3), aggregate 8/16 mm (500 kg/m3),...
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Ultrasonic wave propagation, digital image correlation and X-ray micro-computed tomography measurements of concrete during splitting (cube #2)
Dane BadawczeThe DataSet contains the results of the mechanical behaviour of a concrete cube under the splitting test. The cube had dimensions 70 x 70 x 70 cm3 and was made of concrete with the following ingredients: cement type CEM I 42.5R (330 kg/m3), water (165 kg/m3), aggregate 0/2 mm (710 kg/m3), aggregate 2/8 mm (664 kg/m3), aggregate 8/16 mm (500 kg/m3),...
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BET adsorption-desorption isotherm of nano-CeO2
Dane BadawczeThe dataset includes the isotherms of adortion and desorption of N2 at LN2 temperature. The sorption isotherms were obtained using Quatachrome NovaTouch LX1 equippment. The catalyts powder composed of nanoCeO2 (AlfaAesar)
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BET adsorption-desorption isotherm of nano-MgO
Dane BadawczeThe dataset includes the isotherms of adortion and desorption of N2 at LN2 temperature. The sorption isotherms were obtained using Quatachrome NovaTouch LX1 equippment. The ceramic measured powder was composed of nanometric MgO (CA-assisted method of synthesis)
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BET adsorption-desorption isotherm of nano-ZrO2
Dane BadawczeThe dataset includes the isotherms of adortion and desorption of N2 at LN2 temperature. The sorption isotherms were obtained using Quatachrome NovaTouch LX1 equippment. The ceramic measured powder was composed of nanometric ZrO2 (CA-assisted method of synthesis)
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BET adsorption-desorption isotherm of nano-SrTiO3
Dane BadawczeThe dataset includes the isotherms of adortion and desorption of N2 at LN2 temperature. The sorption isotherms were obtained using Quatachrome NovaTouch LX1 equippment. The ceramic measured powder was composed of nanometric SrTiO3 (CA-assisted method of synthesis)
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BET adsorption-desorption isotherm of nano-CeO2 impregnated with Cu
Dane BadawczeThe dataset includes the isotherms of adortion and desorption of N2 at LN2 temperature. The sorption isotherms were obtained using Quatachrome NovaTouch LX1 equippment. The catalyts powder composed of nanoCeO2 impreganted with Cu oxide nanoparticles with the usage of BCD (Beta-cyclodextrins) and without addition.
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BET adsorption-desorption isotherm of nano-CeO2 impregnated with Co
Dane BadawczeThe dataset includes the isotherms of adortion and desorption of N2 at LN2 temperature. The sorption isotherms were obtained using Quatachrome NovaTouch LX1 equippment. The catalyts powder composed of nanoCeO2 impreganted with Co oxide nanoparticles with the usage of BCD (Beta-cyclodextrins) and without addition.
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BET adsorption-desorption isotherm of nano-CeO2 impregnated with Mn
Dane BadawczeThe dataset includes the isotherms of adortion and desorption of N2 at LN2 temperature. The sorption isotherms were obtained using Quatachrome NovaTouch LX1 equippment. The catalyts powder composed of nanoCeO2 impreganted with Mn oxide nanoparticles with the usage of BCD (Beta-cyclodextrins) and without addition.
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BET adsorption-desorption isotherm of nano-CeO2 impregnated with Ni
Dane BadawczeThe dataset includes the isotherms of adortion and desorption of N2 at LN2 temperature. The sorption isotherms were obtained using Quatachrome NovaTouch LX1 equippment. The catalyts powder composed of nanoCeO2 impreganted with Ni oxide nanoparticles with the usage of BCD (Beta-cyclodextrins) and without addition.
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BET adsorption-desorption isotherm of nano-CeO2 impregnated with Fe
Dane BadawczeThe dataset includes the isotherms of adortion and desorption of N2 at LN2 temperature. The sorption isotherms were obtained using Quatachrome NovaTouch LX1 equippment. The catalyts powder composed of nanoCeO2 impreganted with Fe oxide nanoparticles with the usage of BCD (Beta-cyclodextrins) and without addition.
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The aggregation of objects representing Gdańsk district buildings - scale 1:10000
Dane BadawczeThe process of automatic generalization is one of the elements of spatial data preparation for the purpose of creating digital cartographic studies. The presented data include a part of the process of generalization of building groups obtained from the national geodesy and cartography resource from BDOT10k (10k topographic database) [1].
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The aggregation of objects representing buildings in the Kartuzy district - scale 1:10000
Dane BadawczeThe process of automatic generalization is one of the elements of spatial data preparation for the purpose of creating digital cartographic studies. The presented data include a part of the process of generalization of building groups obtained from the national geodesy and cartography resource from BDOT10k (10k topographic database) [1].
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The aggregation of objects representing Katowice district buildings - scale 1:25000
Dane BadawczeThe process of automatic generalization is one of the elements of spatial data preparation for the purpose of creating digital cartographic studies. The presented data include a part of the process of generalization of building groups obtained from the national geodesy and cartography resource from BDOT10k (10k topographic database) [1].
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The aggregation of objects representing Gdańsk district buildings - scale 1:25000
Dane BadawczeThe process of automatic generalization is one of the elements of spatial data preparation for the purpose of creating digital cartographic studies. The presented data include a part of the process of generalization of building groups obtained from the national geodesy and cartography resource from BDOT10k (10k topographic database) [1].
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The aggregation of objects representing Katowice district buildings - scale 1:10000
Dane BadawczeThe process of automatic generalization is one of the elements of spatial data preparation for the purpose of creating digital cartographic studies. The presented data include a part of the process of generalization of building groups obtained from the national geodesy and cartography resource from BDOT10k (10k topographic database) [1].
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The aggregation of objects representing buildings in the Kartuzy district - scale 1:25000
Dane BadawczeThe process of automatic generalization is one of the elements of spatial data preparation for the purpose of creating digital cartographic studies. The presented data include a part of the process of generalization of building groups obtained from the national geodesy and cartography resource from BDOT10k (10k topographic database) [1].
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The aggregation of objects representing Gdańsk district buildings - scale 1:10000. Data from OSM.
Dane BadawczeThe process of automatic generalization is one of the elements of spatial data preparation for the purpose of creating digital cartographic studies. The presented data include a part of the process of generalization of building groups obtained from the Open Street Map databases (OSM) [1].
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The aggregation of objects representing buildings in the Kartuzy district - scale 1:10000. Data from OSM.
Dane BadawczeThe process of automatic generalization is one of the elements of spatial data preparation for the purpose of creating digital cartographic studies. The presented data include a part of the process of generalization of building groups obtained from the Open Street Map databases (OSM) [1].
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Objects resulting from the sequential generalization of the buildings group in Kartuzy district - scale 1:10000
Dane BadawczeThe process of automatic generalization is one of the elements of spatial data preparation for the purpose of creating digital cartographic studies. The presented data include a part of the process of generalization of building groups obtained from the national geodesy and cartography resource from BDOT10k (10k topographic database) [1].
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Objects resulting from the sequential generalization of the buildings group in Gdańsk district - scale 1:10000
Dane BadawczeThe process of automatic generalization is one of the elements of spatial data preparation for the purpose of creating digital cartographic studies. The presented data include a part of the process of generalization of building groups obtained from the national geodesy and cartography resource from BDOT10k (10k topographic database) [1].
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TiO2-potential zeta in water
Dane BadawczeData contain results from measurements of zeta potential for powdered TiO2 in a diluted aqueous solution. The measurements were performed in Zetasizer Nano ZS analyser.
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Place attachment, place identity, and visual pollution sensitivity.
Dane BadawczeThe data include individual responses on the following scales (1) place attachment, (2) place identity, and (3) visual pollution sensitivity. Each line represents responses obtained from one participant and his or her demographic characteristics. like gender, age, and education level.
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TiO2-zeta potential
Dane BadawczeData contain results from the measurements of zeta potential of TiO2 versus pH. Data are saved as original files and in the format of Excel file. measurements were perfomed in Zetasizer Nano ZS with using Multi-Purpose Titrator MPT-2.
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Place attachment, place identity, and satisfaction with urban aesthetic.
Dane BadawczeThe data include individual responses on the following scales (1) place attachment, (2) place identity, and (3) satisfaction with an urban aesthetic. Each line represents responses obtained from one participant and his or her demographic characteristics. like gender, age, and education level.
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The generalization by simplification operator with Chrobak’s method of objects representing groups of buildings in Kartuzy district - scale 1:25000
Dane BadawczeThe process of automatic generalization is one of the elements of spatial data preparation for the purpose of creating digital cartographic studies. The presented data include a part of the process of generalization of building groups obtained from the national geodesy and cartography resource from BDOT10k (10k topographic database) [1].
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The orthogonalization of objects simplified with the Simplify Building tool representing groups of buildings in Kartuzy district - scale 1:10000
Dane BadawczeThe process of automatic generalization is one of the elements of spatial data preparation for the purpose of creating digital cartographic studies. The presented data include a part of the process of generalization of building groups obtained from the national geodesy and cartography resource from BDOT10k (10k topographic database) [1].
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The orthogonalization of objects simplified using the Sester’s method representing groups of buildings in Kartuzy district - scale 1:10000
Dane BadawczeThe process of automatic generalization is one of the elements of spatial data preparation for the purpose of creating digital cartographic studies. The presented data include a part of the process of generalization of building groups obtained from the national geodesy and cartography resource from BDOT10k (10k topographic database) [1].
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The generalization by simplification operator with Chrobak’s method of objects representing groups of buildings in Kartuzy district - scale 1:10000
Dane BadawczeThe process of automatic generalization is one of the elements of spatial data preparation for the purpose of creating digital cartographic studies. The presented data include a part of the process of generalization of building groups obtained from the national geodesy and cartography resource from BDOT10k (10k topographic database) [1].
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The generalization by simplification operator with Sester’s method of objects representing groups of buildings in Kartuzy district - scale 1:10000
Dane BadawczeThe process of automatic generalization is one of the elements of spatial data preparation for the purpose of creating digital cartographic studies. The presented data include a part of the process of generalization of building groups obtained from the national geodesy and cartography resource from BDOT10k (10k topographic database) [1].
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The orthogonisation of objects simplified using the Chrobak’s method representing groups of buildings in Gdańsk district - scale 1:10000
Dane BadawczeThe process of automatic generalization is one of the elements of spatial data preparation for the purpose of creating digital cartographic studies. The presented data include a part of the process of generalization of building groups obtained from the national geodesy and cartography resource from BDOT10k (10k topographic database) [1].
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The orthogonisation of objects simplified using the Sester’s method representing groups of buildings in Gdańsk district - scale 1:10000
Dane BadawczeThe process of automatic generalization is one of the elements of spatial data preparation for the purpose of creating digital cartographic studies. The presented data include a part of the process of generalization of building groups obtained from the national geodesy and cartography resource from BDOT10k (10k topographic database) [1].
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The generalization by simplification operator with Sester’s method of objects representing groups of buildings in Gdańsk district - scale 1:10000
Dane BadawczeThe process of automatic generalization is one of the elements of spatial data preparation for the purpose of creating digital cartographic studies. The presented data include a part of the process of generalization of building groups obtained from the national geodesy and cartography resource from BDOT10k (10k topographic database) [1].
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The generalization by simplification operator with Chrobak’s method of objects representing groups of buildings in Gdańsk district - scale 1:10000
Dane BadawczeThe process of automatic generalization is one of the elements of spatial data preparation for the purpose of creating digital cartographic studies. The presented data include a part of the process of generalization of building groups obtained from the national geodesy and cartography resource from BDOT10k (10k topographic database) [1].
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The orthogonalization of objects simplified using the Chrobak’s method representing groups of buildings in Kartuzy district - scale 1:10000
Dane BadawczeThe process of automatic generalization is one of the elements of spatial data preparation for the purpose of creating digital cartographic studies. The presented data include a part of the process of generalization of building groups obtained from the national geodesy and cartography resource from BDOT10k (10k topographic database) [1].
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The generalization by simplification operator with Chrobak’s method of objects representing groups of buildings in Katowice district - scale 1:10000
Dane BadawczeThe process of automatic generalization is one of the elements of spatial data preparation for the purpose of creating digital cartographic studies. The presented data include a part of the process of generalization of building groups obtained from the national geodesy and cartography resource from BDOT10k (10k topographic database) [1].
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The generalization by simplification operator with Chrobak’s method of objects representing groups of buildings in Katowice district - scale 1:25000
Dane BadawczeThe process of automatic generalization is one of the elements of spatial data preparation for the purpose of creating digital cartographic studies. The presented data include a part of the process of generalization of building groups obtained from the national geodesy and cartography resource from BDOT10k (10k topographic database) [1].
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The generalization by simplification operator with Chrobak’s method of objects representing groups of buildings in Gdańsk district - scale 1:25000
Dane BadawczeThe process of automatic generalization is one of the elements of spatial data preparation for the purpose of creating digital cartographic studies. The presented data include a part of the process of generalization of building groups obtained from the national geodesy and cartography resource from BDOT10k (10k topographic database) [1].
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The generalization by simplification operator with Sester’s method of objects representing groups of buildings in Kartuzy district - scale 1:25000
Dane BadawczeThe process of automatic generalization is one of the elements of spatial data preparation for the purpose of creating digital cartographic studies. The presented data include a part of the process of generalization of building groups obtained from the national geodesy and cartography resource from BDOT10k (10k topographic database) [1].
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The generalization of objects representing groups of buildings in the Kartuzy district by simplification operator with the Simplify Building tool - scale 1:10000
Dane BadawczeThe process of automatic generalization is one of the elements of spatial data preparation for the purpose of creating digital cartographic studies. The presented data include a part of the process of generalization of building groups obtained from the national geodesy and cartography resource from BDOT10k (10k topographic database) [1].
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The orthogonalization of simplified objects representing groups of buildings in Gdańsk district using the Simplify Building tool - scale 1:10000
Dane BadawczeThe process of automatic generalization is one of the elements of spatial data preparation for the purpose of creating digital cartographic studies. The presented data include a part of the process of generalization of building groups obtained from the national geodesy and cartography resource from BDOT10k (10k topographic database) [1].
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The generalization by simplification operator with the Simplify Building tool of objects representing groups of buildings in Gdańsk district - scale 1:10000
Dane BadawczeThe process of automatic generalization is one of the elements of spatial data preparation for the purpose of creating digital cartographic studies. The presented data include a part of the process of generalization of building groups obtained from the national geodesy and cartography resource from BDOT10k (10k topographic database) [1].
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The generalization by simplification operator with the Simplify Building tool of objects representing groups of buildings in Katowice district - scale 1:10000
Dane BadawczeThe process of automatic generalization is one of the elements of spatial data preparation for the purpose of creating digital cartographic studies. The presented data include a part of the process of generalization of building groups obtained from the national geodesy and cartography resource from BDOT10k (10k topographic database) [1].
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The generalization by simplification operator with the Simplify Building tool of objects representing groups of buildings in Katowice district - scale 1:25000
Dane BadawczeThe process of automatic generalization is one of the elements of spatial data preparation for the purpose of creating digital cartographic studies. The presented data include a part of the process of generalization of building groups obtained from the national geodesy and cartography resource from BDOT10k (10k topographic database) [1].