Filtry
wszystkich: 8142
wybranych: 555
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Katalog
- Publikacje 5114 wyników po odfiltrowaniu
- Czasopisma 1140 wyników po odfiltrowaniu
- Konferencje 74 wyników po odfiltrowaniu
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- Dane Badawcze 555 wyników po odfiltrowaniu
Filtry wybranego katalogu
Wyniki wyszukiwania dla: chemistry and technology of polyurethanes
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Bibliographic data on datasets affiliated to University of Technology and Humanities in Radom and indexed in Data Citation Inex (retrievd by Web of Science service in December 2021)
Dane BadawczeThe file contains the number of datasets published by the researchers affiliated to University of Technology and Humanities in Radom and indexed in Data Citation Index provided by Web of Science. The Search was performed using the name of institution in the address field or group author field. Data retrieved and published during the 5th Open Science...
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Dataset for a research study on scientific productivity of Polish technical universities (AGH University of Science and Technology 2016-2020).
Dane BadawczeThis dataset was created for the purpose of research on scientific productivity at Polish technical universities.
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The most important elements of the social package that guide students of Wrocław University of Science and Technology when choosing their first job
Dane BadawczeThis dataset contains the results of research that were carried out by the Wrocław University of Science and Technology in March and April 2016, using an anonymous "on-line" questionnaire. 1,320 people took part in the study entitled "My ideal employer" - students and doctoral students of all faculties of the university (including those fields of study...
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Valorization of bio-based polyols synthesized via biomass liquefaction
Dane BadawczeAs the properties of polyols have a huge impact on the properties of manufactured polyurethanes, this study aims to determine the influence of polyethylene glycols with different molecular masses on the course of the biomass liquefaction process and bio-polyol properties. The obtained polyols were characterized by rheological studies. To confirm the...
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Bibliometric data for a research study on scientific productivity of Polish technical universities (Łódź University of Technology 2016-2020) retrieved by InCites benchmarking tool.
Dane BadawczeThis dataset was created for the purpose of research on scientific productivity at Polish technical universities.The raw data was retrieved in July 2021 by the InCites benchmarking tool in xlsx format and will be used to create the research profiles of the universities and underlying data of journals articles. The most common definition of research...
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Bibliometric data for a research study on scientific productivity of Polish technical universities (Lublin University of Technology 2016-2020) retrieved by InCites benchmarking tool.
Dane BadawczeThis dataset was created for the purpose of research on scientific productivity at Polish technical universities.The raw data was retrieved in July 2021 by the InCites benchmarking tool in xlsx format and will be used to create the research profiles of the universities and underlying data of journals articles. The most common definition of research...
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Bibliometric data for a research study on scientific productivity of Polish technical universities (Gdańsk University of Technology 2016-2020) retrieved by InCites benchmarking tool.
Dane BadawczeThis dataset was created for the purpose of research on scientific productivity at Polish technical universities.The raw data was retrieved in July 2021 by the InCites benchmarking tool in xlsx format and will be used to create the research profiles of the universities and underlying data of journals articles. The most common definition of research...
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Bibliometric data for a research study on scientific productivity of Polish technical universities (Kielce University of Technology 2016-2020) retrieved by InCites benchmarking tool.
Dane BadawczeThis dataset was created for the purpose of research on scientific productivity at Polish technical universities.The raw data was retrieved in July 2021 by the InCites benchmarking tool in xlsx format and will be used to create the research profiles of the universities and underlying data of journals articles. The most common definition of research...
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Bibliometric data for a research study on scientific productivity of Polish technical universities (Koszalin University of Technology 2016-2020) retrieved by InCites benchmarking tool.
Dane BadawczeThis dataset was created for the purpose of research on scientific productivity at Polish technical universities.The raw data was retrieved in July 2021 by the InCites benchmarking tool in xlsx format and will be used to create the research profiles of the universities and underlying data of journals articles. The most common definition of research...
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Bibliometric data for a research study on scientific productivity of Polish technical universities (Rzeszów University of Technology 2016-2020) retrieved by InCites benchmarking tool.
Dane BadawczeThis dataset was created for the purpose of research on scientific productivity at Polish technical universities.The raw data was retrieved in July 2021 by the InCites benchmarking tool in xlsx format and will be used to create the research profiles of the universities and underlying data of journals articles. The most common definition of research...
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Bibliometric data for a research study on scientific productivity of Polish technical universities (Białystok University of Technology 2016-2020) retrieved by InCites benchmarking tool.
Dane BadawczeThis dataset was created for the purpose of research on scientific productivity at Polish technical universities.The raw data was retrieved in July 2021 by the InCites benchmarking tool in xlsx format and will be used to create the research profiles of the universities and underlying data of journals articles. The most common definition of research...
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Bibliometric data for a research study on scientific productivity of Polish technical universities (Opole University of Technology 2016-2020) retrieved by InCites benchmarking tool.
Dane BadawczeThis dataset was created for the purpose of research on scientific productivity at Polish technical universities.The raw data was retrieved in July 2021 by the InCites benchmarking tool in xlsx format and will be used to create the research profiles of the universities and underlying data of journals articles. The most common definition of research...
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Bibliometric data for a research study on scientific productivity of Polish technical universities (Poznań University of Technology 2016-2020) retrieved by InCites benchmarking tool.
Dane BadawczeThis dataset was created for the purpose of research on scientific productivity at Polish technical universities.The raw data was retrieved in July 2021 by the InCites benchmarking tool in xlsx format and will be used to create the research profiles of the universities and underlying data of journals articles. The most common definition of research...
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Bibliometric data for a research study on scientific productivity of Polish technical universities (Warsaw University of Technology 2016-2020) retrieved by InCites benchmarking tool.
Dane BadawczeThis dataset was created for the purpose of research on scientific productivity at Polish technical universities.The raw data was retrieved in July 2021 by the InCites benchmarking tool in xlsx format and will be used to create the research profiles of the universities and underlying data of journals articles. The most common definition of research...
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Bibliometric data for a research study on scientific productivity of Polish technical universities (Silesian University of Technology 2016-2020) retrieved by InCites benchmarking tool.
Dane BadawczeThis dataset was created for the purpose of research on scientific productivity at Polish technical universities.The raw data was retrieved in July 2021 by the InCites benchmarking tool in xlsx format and will be used to create the research profiles of the universities and underlying data of journals articles.The most common definition of research productivity...
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Bibliometric data for a research study on scientific productivity of Polish technical universities (Wrocław University of Technology 2016-2020) retrieved by InCites benchmarking tool.
Dane BadawczeThis dataset was created for the purpose of research on scientific productivity at Polish technical universities.The raw data was retrieved in July 2021 by the InCites benchmarking tool in xlsx format and will be used to create the research profiles of the universities and underlying data of journals articles. The most common definition of research...
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Bibliometric data for a research study on scientific productivity of Polish technical universities (Cracow University of Technology 2016-2020) retrieved by InCites benchmarking tool.
Dane BadawczeThis dataset was created for the purpose of research on scientific productivity at Polish technical universities.The raw data was retrieved in July 2021 by the InCites benchmarking tool in xlsx format and will be used to create the research profiles of the universities and underlying data of journals articles.The most common definition of research productivity...
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Bibliometric data for a research study on scientific productivity of Polish technical universities (West Pomeranian University of Technology 2016-2020) retrieved by InCites benchmarking tool.
Dane BadawczeThis dataset was created for the purpose of research on scientific productivity at Polish technical universities.The raw data was retrieved in July 2021 by the InCites benchmarking tool in xlsx format and will be used to create the research profiles of the universities and underlying data of journals articles. The most common definition of research...
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Bibliometric data for a research study on scientific productivity of Polish technical universities (AGH University of Science & Technology 2016-2020) retrieved by InCites benchmarking tool.
Dane BadawczeThis dataset was created for the purpose of research on scientific productivity at Polish technical universities.The raw data was retrieved in July 2021 by the InCites benchmarking tool in xlsx format and will be used to create the research profiles of the universities and underlying data of journals articles. The most common definition of research...
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Technology and democracy: the who and how in decision-making. The cases of Estonia and Catalonia. METADATA
Dane BadawczeThe analysis of the Estonian data comes mainly from studies conducted to analyse the cost-efficiency of the Estonian online voting model (Krimmer; Duenas-Cid; Krivonosova, 2021), as well as from the contagion effect that ensued in other parts of the Estonian administration after the voting system was developed (Krimmer; Duenas-Cid,2019). In both cases,...
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Technology and democracy: the who and how in decision-making. The cases of Estonia and Catalonia. METADATA 1
Dane BadawczeThe analysis of the Estonian data comes mainly from studies conducted to analyse the cost-efficiency of the Estonian online voting model (Krimmer; Duenas-Cid; Krivonosova, 2021), as well as from the contagion effect that ensued in other parts of the Estonian administration after the voting system was developed (Krimmer; Duenas-Cid,2019). In both cases,...
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Long-term measurements from a photovoltaic power plant and meteorological stations at the Laboratory LINTE^2 of Gdańsk University of Technology
Dane Badawcze1) The Laboratory LINTE^2 is a large research infrastructure operated by the Faculty of Electrical and Control Engineering at Gdańsk University of Technology, to be found in Gdańsk, Poland (54.3690 N, 18.6130 E). 2) The measurements have been collected from a photovoltaic power plant located on the roof of the laboratory, having total capacity...
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The XRD diffraction patterns of La0.3Sr1.7Fe1.5Mo0.5O6 powder calcined at 1200oC in air
Dane BadawczeThe dataset includes XRD patterns of La0.3Sr1.7Fe1.5Mo0.5O6 powder prepared using wet chemistry methods, namely modified Pechini route. The powders were sintered at 1200oC for 12 h in air.
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The XRD diffraction patterns of Sr1.9Fe1.4Ni0.1Mo0.5O6 powder calcined at 1100oC in air
Dane BadawczeThe dataset includes XRD patterns of Sr1.9Fe1.4Ni0.1Mo0.5O6 powder prepared using wet chemistry methods, namely modified Pechini route. The powders were sintered at 1100oC for 12 h in air.
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The XRD diffraction patterns of Sr1.9Fe1.5Mo0.5O6 powder calcined at 1100oC in air
Dane BadawczeThe dataset includes XRD patterns of Sr1.9Fe1.5Mo0.5O6 powder prepared using wet chemistry methods, namely modified Pechini route. The powders were sintered at 1100oC for 12 h in air.
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The XRD diffraction patterns of Sr1.9Fe1.4Ni0.1Mo0.5O6 powder calcined at 1200oC in air
Dane BadawczeThe dataset includes XRD patterns of Sr1.9Fe1.4Ni0.1Mo0.5O6 powder prepared using wet chemistry methods, namely modified Pechini route. The powders were sintered at 1200oC for 12 h in air.
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The XRD diffraction patterns of Sr1.9Fe1.5Mo0.5O6 powder calcined at 1200oC in air
Dane BadawczeThe dataset includes XRD patterns of Sr1.9Fe1.5Mo0.5O6 powder prepared using wet chemistry methods, namely modified Pechini route. The powders were sintered at 1200oC for 12 h in air.
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The XRD diffraction patterns of La0.3Sr2Al0.1FeMoO6 powder calcined at 1200oC in air
Dane BadawczeThe dataset includes XRD patterns of La0.3Sr2Al0.1FeMoO6 powder prepared using wet chemistry methods, namely modified Pechini route. The powders were sintered at 1200oC for 12 h in air.
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The XRD diffraction patterns of Sr2Al0.1Fe1.4Mo0.5O6 powder calcined at 1100oC in air
Dane BadawczeThe dataset includes XRD patterns of Sr2Al0.1Fe1.4Mo0.5O6 powder prepared using wet chemistry methods, namely modified Pechini route. The powders were sintered at 1100oC for 12 h in air.
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The XRD diffraction patterns of La0.3Sr1.7Al0.1Fe1.5Mo0.5O6 powder calcined at 1100oC in air
Dane BadawczeThe dataset includes XRD patterns of La0.3Sr1.7Al0.1Fe1.5Mo0.5O6 powder prepared using wet chemistry methods, namely modified Pechini route. The powders were sintered at 1100oC for 12 h in air.
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The XRD diffraction patterns of La0.3Sr0.6Ce0.1Ni0.1Mo0.9O3-s powder calcined at 800oC in air
Dane BadawczeThe dataset includes XRD patterns of La0.3Sr0.6Ce0.1Ni0.1Mo0.9O3-s powder prepared using wet chemistry methods, namely modified Pechini route. The powders were sintered at 800oC for 12 h in air.
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The XRD diffraction patterns of LSCNT sintered at various temperatures
Dane BadawczeThe dataset includes XRD diffraction patterns of La0.27Sr0.54Ce0.09Ni0.1Ti0.9O3-s sintered at various temperatures under air atmosphere for 12 h. Samples were produced using aqueous soft chemistry methods (Pechini).
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The XRD diffraction patterns of La0.3Sr0.6Ce0.1Ni0.1W0.9O3-s precursor calcined under air atmosphere
Dane BadawczeThe dataset includes XRD patterns of La0.3Sr0.6Ce0.1Ni0.1W0.9O3-s precursor gel prepared using wet chemistry methods, namely modified Pechini route. The powders were calcined at 550oC for 5 h in air.
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The XRD diffraction patterns of La0.3Sr0.6Ce0.1Ni0.1Mo0.9O3-s precursor calcined under air atmosphere
Dane BadawczeThe dataset includes XRD patterns of La0.3Sr0.6Ce0.1Ni0.1Mo0.9O3-s precursor gel prepared using wet chemistry methods, namely modified Pechini route. The powders were calcined at 550oC for 5 h in air.
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The XRD diffraction patterns of La0.3Sr0.6Ce0.1Ni0.1W0.45Mo0.45O3-s precursor calcined under air atmosphere
Dane BadawczeThe dataset includes XRD patterns of La0.3Sr0.6Ce0.1Ni0.1W0.45Mo0.45O3-s precursor gel prepared using wet chemistry methods, namely modified Pechini route. The powders were calcined at 550oC for 5 h in air.
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The XRD diffraction patterns of LSCNT of different A site nonstoichiometry
Dane BadawczeThe dataset includes XRD diffraction patterns of La0.27Sr0.54Ce0.09Ni0.1Ti0.9O3-s and La0.3Sr0.6Ce0.1Ni0.1Ti0.9O3-s sintered at 1200oC under air atmosphere for 12 h. Samples were produced using aqueous soft chemistry methods (Pechini).
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The XRD diffraction patterns of Ce(Gd,Pr)O2-s samples
Dane BadawczeThe dataset includes XRD diffraction patterns of Ce0.8Gd0.2O2-s and Ce0.8Pr0.2O2-s sintered at 600oC under air atmosphere for 4 h. Samples were produced using aqueous soft chemistry methods (Pechini).
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The XRD diffraction patterns of La0.3Sr0.6Ce0.1Ni0.1Mo0.9O3-s powder calcined at 800oC in H2
Dane BadawczeThe dataset includes XRD patterns of La0.3Sr0.6Ce0.1Ni0.1Mo0.9O3-s powder prepared using wet chemistry methods, namely modified Pechini route. The powders were sintered at 800oC for 12 h in H2. Pure perovskite phase was formed
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The SEM images of LSCNT reduced at 900 degrees C under H2
Dane BadawczeThe dataset includes SEM image of La0.27Sr0.54Ce0.09Ni0.1Ti0.9O3-s sintered at 1200oC under air atmosphere for 12 h and reduced at 900oC under H2 for 10 h. Samples were produced using aqueous soft chemistry methods (Pechini).
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The SEM images of LSCNT reduced at 800 degrees C under H2
Dane BadawczeThe dataset includes SEM images of La0.27Sr0.54Ce0.09Ni0.1Ti0.9O3-s sintered at 1200oC under air atmosphere for 12 h and reduced at 800oC under H2 for 10 h. Samples were produced using aqueous soft chemistry methods (Pechini).
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The SEM images of LSCNT reduced at 1000 degrees C under H2
Dane BadawczeThe dataset includes SEM images of La0.27Sr0.54Ce0.09Ni0.1Ti0.9O3-s sintered at 1200oC under air atmosphere for 12 h and reduced at 1000oC under H2 for 10 h. Samples were produced using aqueous soft chemistry methods (Pechini).
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The SEM images of LSCNT sintered at 1200 degrees C in air
Dane BadawczeThe dataset includes SEM images of La0.27Sr0.54Ce0.09Ni0.1Ti0.9O3-s sintered at 1200oC under air atmosphere for 12 h. Samples were produced using aqueous soft chemistry methods (Pechini). The grain structure can be seen on higher resolution image.
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The reductivity of the transition metals - calculations
Dane BadawczeThe dataset includes the reduction enthalpy and Gibbs energy simulated for Co, Cu, Fe, La, Mo, Ni, Sr, Ti, and W from oxide form into metallic form in hydrogen. Simulations were performed using HSC Chemistry software.
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UAV Survey Images - 3D Model - Allegory of science figure - on the tower of the main building of Gdansk University of Technology - MP1
Dane BadawczeDataset description: Raw images from photogrammetric survey. Object: Golden figure at the top of the main bulding of Gdansk University Of TechnologyLocation: Gdansk, Pomerania, PolandDrone type: DJI Mavic Pro 1Flight plan: CircleTarget Product: 3D ModelDate: 13.10.2018Direct georeferencing: yesMetadata data: yes/GPSGCP: NoGCP Quality: N/ACamera Name:...
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UAV Survey Images - 3D Model - Allegory of science figure - on the tower of the main building of Gdansk University of Technology - MP2
Dane BadawczeDataset description: Raw images from photogrammetric survey. Object: Golden figure at the top of the main bulding of Gdansk University Of TechnologyLocation: Gdansk, Pomerania, PolandDrone type: DJI Mavic Pro 2Flight plan: CircleTarget Product: 3D ModelDate: 08.11.2019Direct georeferencing: yesMetadata data: yes/GPSGCP: NoGCP Quality: N/ACamera Name:...
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The Scanning Electron Microscopy images of three arthropods
Dane BadawczeThe dataset contains micrographs of various arthropods made with the Scanning Electron Microscopy (SEM) technique. The images were done during the laboratory with students from the Faculty of Chemistry. Among the studied species, there is a fruit fly (lat.Drosophila melanogaster), a spider (most likely Sibianor aurocinctus), and a weevil insect (Curculionoidea).
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Equilibrium constants (Keq) of reforming reactions
Dane BadawczeThe equilibrium constants (K) of reforming reactions in SOFC were supplied with this dataset
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Euilibrium composition of CH4-CO2-CO-H2-H2O-C system under biogas reforming conditions
Dane BadawczeThe equilibrium compositions of CH4, CO2, CO, H2, H2O and C under the biogas mixture reforming were supplied with this dataset
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Euilibrium composition of CH4-CO2-CO-H2-H2O-C system for CO2/H2/H2O methanation
Dane BadawczeThe equilibrium compositions of CH4, CO2, CO, H2, H2O and C under the methanation reaction of 1:2 CO:H2 syngas mixtures were supplied with this dataset
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Euilibrium composition of CH4-CO2-CO-H2-H2O-C system under various compositions syngas methanation
Dane BadawczeThe equilibrium compositions of CH4, CO2, CO, H2, H2O and C under the methanation reaction of various syngas mixtures (different CO/H2 ratio) were supplied with this dataset