Filtry
wszystkich: 9929
wybranych: 225
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Katalog
- Publikacje 9146 wyników po odfiltrowaniu
- Czasopisma 117 wyników po odfiltrowaniu
- Osoby 136 wyników po odfiltrowaniu
- Wynalazki 9 wyników po odfiltrowaniu
- Projekty 5 wyników po odfiltrowaniu
- Zespoły Badawcze 1 wyników po odfiltrowaniu
- Kursy Online 42 wyników po odfiltrowaniu
- Wydarzenia 32 wyników po odfiltrowaniu
- Dane Badawcze 441 wyników po odfiltrowaniu
Filtry wybranego katalogu
Wyniki wyszukiwania dla: KRÓTKOTERMINOWE PAPIERY DŁUŻNE
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Elgold partial: Scientific papers' abstracts
Dane BadawczeThe dataset contains 87 Scientific papers' abstracts in English randomly chosen from the folowing scientific disciplines: Biomedicine, Life Sciences, Mathematics, Medicine, Science, Humanities, Social Science.
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Microscopic examination of the texture of paper products
Dane BadawczeAtomic force microscopy (AFM) can be used to study the state of the paper fibers with the aim of providing qualitative and semi-quantitative information on degradation and aging. The work [1] reports the results of tests of various paper products subjected to deliberate aging processes under the influence of various factors. Chemical and biological...
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Data on the number of submitted declarations divided into electronic and paper between January 2020 and December 2020
Dane BadawczeThe following data concern the number of declarations submitted between January and December 2020 to the Polish Ministry of Finance. The declarations concern all taxes, including income taxes and VAT. The data has been divided into particular categories, i.e. paper and electronic declarations.
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Data on the number of submitted declarations divided into electronic and paper between January 2021 and February 2021
Dane BadawczeThe following data concern the number of declarations submitted between January and February 2021 to the Polish Ministry of Finance. The declarations concern all taxes, including income taxes and VAT. The data has been divided into particular categories, i.e. paper and electronic declarations.
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Replication package accompanying the paper: Parteka A., Zarach, Z.H., Kordalska A. (2024). Technological content of export diversification.
Dane BadawczeThis replication package contains data and codes allowing to replicate the analysis described in the paper: Parteka A., Zarach, Z.H., Kordalska A. (2024). Technological content of export diversification.
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Raw data for the paper "Mutually polarizable QM/MM model with in situ optimized localized basis functions"
Dane BadawczeThis dataset contains raw data used to generate plots in the paper Mutually polarizable QM/MM model with in situ optimized localized basis functions. The paper is devoted to a second generation of the TINKTEP model -- an QM/MM approach combining linear-scaling DFT (ONETEP) and a polarizable force field (AMOEBA).
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Data accompanying the paper: "Productivity effects of trade in natural resources – comparison with mechanisms of technological specialization" (Zarach and Parteka, The World Economy, 2023)
Dane BadawczeThe folder contains the data and codes used in the analysis described in the paper: Zarach Z.H., Parteka A. (2023). Productivity effects of trade in natural resources – comparison with mechanisms of technological specialization. The World Economy, 00, 1–23. https://doi.org/10.1111/twec.13456
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Data accompanying the paper: Zarach and Parteka (2023), Export diversification and dependence on natural resources , Economic Modelling (Elsevier), 126 (2023) 106436.
Dane BadawczeThe folder contains the data and codes used in the analysis described in the paper: Zarach Z.H., Parteka A. (2023). Export diversification and dependence on natural resources. Economic Modelling Volume 126, September 2023, 106436.
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Data and codes accompanying the paper: Parteka A., Kordalska A. "Artificial intelligence and productivity: global evidence from AI patent and bibliometric data". Technovation, Volume 125, July 2023, 102764
Dane BadawczeThe folder contains the data and codes used in the analysis described in the paper: Parteka A., Kordalska A. (2023) Artificial intelligence and productivity: global evidence from AI patent and bibliometric data. Technovation, Volume 125, July 2023, 102764
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Elgold intermediate: raw texts
Dane BadawczeThe dataset contains raw texts scrapped from various internet sources which were used for creating the Elgold dataset.
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Uniform expansion estimates in the quadratic map as a function of the partition size, using Johnson’s algorithm
Dane BadawczeThis dataset contains selected results of numerical computations described in the paper "Quantitative hyperbolicity estimates in one-dimensional dynamics" by S. Day, H. Kokubu, S. Luzzatto, K. Mischaikow, H. Oka, P. Pilarczyk, published in Nonlinearity, Vol. 21, No. 9 (2008), 1967-1987, doi: 10.1088/0951-7715/21/9/002.
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Uniform expansion estimates in the quadratic map with the smallest critical neighborhood for which the expansion exponent λ is positive
Dane BadawczeThis dataset contains selected results of numerical computations described in the paper "Quantitative hyperbolicity estimates in one-dimensional dynamics" by S. Day, H. Kokubu, S. Luzzatto, K. Mischaikow, H. Oka, P. Pilarczyk, published in Nonlinearity, Vol. 21, No. 9 (2008), 1967-1987, doi: 10.1088/0951-7715/21/9/002.
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Uniform expansion estimates in the quadratic map as a function of the critical neighborhood size
Dane BadawczeThis dataset contains selected results of numerical computations described in the paper "Quantitative hyperbolicity estimates in one-dimensional dynamics" by S. Day, H. Kokubu, S. Luzzatto, K. Mischaikow, H. Oka, P. Pilarczyk, published in Nonlinearity, Vol. 21, No. 9 (2008), 1967-1987, doi: 10.1088/0951-7715/21/9/002.
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Uniform expansion estimates in the quadratic map as a function of the partition size, using the “critical” partition type
Dane BadawczeThis dataset contains selected results of numerical computations described in the paper "Quantitative hyperbolicity estimates in one-dimensional dynamics" by S. Day, H. Kokubu, S. Luzzatto, K. Mischaikow, H. Oka, P. Pilarczyk, published in Nonlinearity, Vol. 21, No. 9 (2008), 1967-1987, doi: 10.1088/0951-7715/21/9/002.
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Uniform expansion estimates in the quadratic map as a function of the partition size, using the Floyd–Warshall algorithm
Dane BadawczeThis dataset contains selected results of numerical computations described in the paper "Quantitative hyperbolicity estimates in one-dimensional dynamics" by S. Day, H. Kokubu, S. Luzzatto, K. Mischaikow, H. Oka, P. Pilarczyk, published in Nonlinearity, Vol. 21, No. 9 (2008), 1967-1987, doi: 10.1088/0951-7715/21/9/002.
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Uniform expansion estimates in the quadratic map as a function of the parameter, with a small critical neighborhood
Dane BadawczeThis dataset contains selected results of numerical computations described in the paper "Quantitative hyperbolicity estimates in one-dimensional dynamics" by S. Day, H. Kokubu, S. Luzzatto, K. Mischaikow, H. Oka, P. Pilarczyk, published in Nonlinearity, Vol. 21, No. 9 (2008), 1967-1987, doi: 10.1088/0951-7715/21/9/002.
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The database of indices computed from RR-intervals of length 512 of 41 patients at rest hospitalized due to the episode of acute ischemic stroke
Dane BadawczeThis dataset contains the data that was a basis for the results discussed in the paper “Persistent homology as a new method of the assessment of heart rate variability” by Grzegorz Graff, Beata Graff, Paweł Pilarczyk, Grzegorz Jabłoński, Dariusz Gąsecki, Krzysztof Narkiewicz, Plos One (2021), DOI: 10.1371/journal.pone.0253851.
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The database of indices computed from RR-intervals of length 512 of 46 healthy subjects at rest
Dane BadawczeThis dataset contains the data that was a basis for the results discussed in the paper “Persistent homology as a new method of the assessment of heart rate variability” by Grzegorz Graff, Beata Graff, Paweł Pilarczyk, Grzegorz Jabłoński, Dariusz Gąsecki, Krzysztof Narkiewicz, Plos One (2021), DOI: 10.1371/journal.pone.0253851.
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Uniform expansion estimates in the quadratic map as a function of the parameter, with a large range of parameters
Dane BadawczeThis dataset contains selected results of numerical computations described in the paper "Quantitative hyperbolicity estimates in one-dimensional dynamics" by S. Day, H. Kokubu, S. Luzzatto, K. Mischaikow, H. Oka, P. Pilarczyk, published in Nonlinearity, Vol. 21, No. 9 (2008), 1967-1987, doi: 10.1088/0951-7715/21/9/002.
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Uniform expansion estimates in the quadratic map as a function of the parameter, with a very small critical neighborhood
Dane BadawczeThis dataset contains selected results of numerical computations described in the paper "Quantitative hyperbolicity estimates in one-dimensional dynamics" by S. Day, H. Kokubu, S. Luzzatto, K. Mischaikow, H. Oka, P. Pilarczyk, published in Nonlinearity, Vol. 21, No. 9 (2008), 1967-1987, doi: 10.1088/0951-7715/21/9/002.
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The database of normal RR-intervals of length up to 512 of 41 patients at rest hospitalized due to the episode of acute ischemic stroke
Dane BadawczeThis dataset contains the data that was a basis for the results discussed in the paper “Persistent homology as a new method of the assessment of heart rate variability” by Grzegorz Graff, Beata Graff, Paweł Pilarczyk, Grzegorz Jabłoński, Dariusz Gąsecki, Krzysztof Narkiewicz, Plos One (2021), DOI: 10.1371/journal.pone.0253851.
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The database of normal RR-intervals of length up to 512 of 46 healthy subjects at rest
Dane BadawczeThis dataset contains the data that was a basis for the results discussed in the paper “Persistent homology as a new method of the assessment of heart rate variability” by Grzegorz Graff, Beata Graff, Paweł Pilarczyk, Grzegorz Jabłoński, Dariusz Gąsecki, Krzysztof Narkiewicz, Plos One (2021), DOI: 10.1371/journal.pone.0253851.
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Uniform expansion estimates in the quadratic map with the smallest critical neighborhood for which the expansion exponent λ0 is positive
Dane BadawczeThis dataset contains selected results of numerical computations described in the paper "Quantitative hyperbolicity estimates in one-dimensional dynamics" by S. Day, H. Kokubu, S. Luzzatto, K. Mischaikow, H. Oka, P. Pilarczyk, published in Nonlinearity, Vol. 21, No. 9 (2008), 1967-1987, doi: 10.1088/0951-7715/21/9/002.
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Uniform expansion estimates in the quadratic map as a function of the partition size, computing λ only
Dane BadawczeThis dataset contains selected results of numerical computations described in the paper "Quantitative hyperbolicity estimates in one-dimensional dynamics" by S. Day, H. Kokubu, S. Luzzatto, K. Mischaikow, H. Oka, P. Pilarczyk, published in Nonlinearity, Vol. 21, No. 9 (2008), 1967-1987, doi: 10.1088/0951-7715/21/9/002.
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Uniform expansion estimates in the quadratic map as a function of the partition size, using the “derivative” partition type
Dane BadawczeThis dataset contains selected results of numerical computations described in the paper "Quantitative hyperbolicity estimates in one-dimensional dynamics" by S. Day, H. Kokubu, S. Luzzatto, K. Mischaikow, H. Oka, P. Pilarczyk, published in Nonlinearity, Vol. 21, No. 9 (2008), 1967-1987, doi: 10.1088/0951-7715/21/9/002.
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Uniform expansion estimates in the cubic map as a function of the parameter
Dane BadawczeThis dataset contains selected results of numerical computations described in the paper "Quantitative hyperbolicity estimates in one-dimensional dynamics" by S. Day, H. Kokubu, S. Luzzatto, K. Mischaikow, H. Oka, P. Pilarczyk, published in Nonlinearity, Vol. 21, No. 9 (2008), 1967-1987, doi: 10.1088/0951-7715/21/9/002.
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Uniform expansion estimates in the quadratic map as a function of the parameter, using the “uniform” partition type
Dane BadawczeThis dataset contains selected results of numerical computations described in the paper "Quantitative hyperbolicity estimates in one-dimensional dynamics" by S. Day, H. Kokubu, S. Luzzatto, K. Mischaikow, H. Oka, P. Pilarczyk, published in Nonlinearity, Vol. 21, No. 9 (2008), 1967-1987, doi: 10.1088/0951-7715/21/9/002.
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Uniform expansion estimates in the quadratic map as a function of the parameter, using the “critical” partition type
Dane BadawczeThis dataset contains selected results of numerical computations described in the paper "Quantitative hyperbolicity estimates in one-dimensional dynamics" by S. Day, H. Kokubu, S. Luzzatto, K. Mischaikow, H. Oka, P. Pilarczyk, published in Nonlinearity, Vol. 21, No. 9 (2008), 1967-1987, doi: 10.1088/0951-7715/21/9/002.
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Uniform expansion estimates in the quadratic map as a function of the parameter, using the “derivative” partition type
Dane BadawczeThis dataset contains selected results of numerical computations described in the paper "Quantitative hyperbolicity estimates in one-dimensional dynamics" by S. Day, H. Kokubu, S. Luzzatto, K. Mischaikow, H. Oka, P. Pilarczyk, published in Nonlinearity, Vol. 21, No. 9 (2008), 1967-1987, doi: 10.1088/0951-7715/21/9/002.
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Uniform expansion estimates in the quadratic map with the smallest critical neighborhood for which the expansion exponent λ0 is greater than 0.1
Dane BadawczeThis dataset contains selected results of numerical computations described in the paper "Quantitative hyperbolicity estimates in one-dimensional dynamics" by S. Day, H. Kokubu, S. Luzzatto, K. Mischaikow, H. Oka, P. Pilarczyk, published in Nonlinearity, Vol. 21, No. 9 (2008), 1967-1987, doi: 10.1088/0951-7715/21/9/002.
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Uniform expansion estimates in the unimodal map with γ=1.5 as a function of the parameter
Dane BadawczeThis dataset contains selected results of numerical computations described in the paper "Quantitative hyperbolicity estimates in one-dimensional dynamics" by S. Day, H. Kokubu, S. Luzzatto, K. Mischaikow, H. Oka, P. Pilarczyk, published in Nonlinearity, Vol. 21, No. 9 (2008), 1967-1987, doi: 10.1088/0951-7715/21/9/002.
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Uniform expansion estimates in the unimodal map with γ=2.5 as a function of the parameter
Dane BadawczeThis dataset contains selected results of numerical computations described in the paper "Quantitative hyperbolicity estimates in one-dimensional dynamics" by S. Day, H. Kokubu, S. Luzzatto, K. Mischaikow, H. Oka, P. Pilarczyk, published in Nonlinearity, Vol. 21, No. 9 (2008), 1967-1987, doi: 10.1088/0951-7715/21/9/002.
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Uniform expansion estimates in the quadratic map with the smallest critical neighborhood for which the expansion exponent λ is greater than 0.1
Dane BadawczeThis dataset contains selected results of numerical computations described in the paper "Quantitative hyperbolicity estimates in one-dimensional dynamics" by S. Day, H. Kokubu, S. Luzzatto, K. Mischaikow, H. Oka, P. Pilarczyk, published in Nonlinearity, Vol. 21, No. 9 (2008), 1967-1987, doi: 10.1088/0951-7715/21/9/002.
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Dataset for a research study on scientific productivity of Polish technical universities (Silesian University Of Technology 2016-2020).
Dane BadawczeThis dataset was created for the purpose of research on scientific productivity at Polish technical universities.The raw data was retrieved in June 2021 by the SciVal 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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Dataset for a research study on scientific productivity of Polish technical universities (Gdańsk Tech 2016-2020)
Dane BadawczeThis dataset was created for the purpose of research on scientific productivity at Polish technical universities. The raw data was retrieved in June 2021 by the SciVal 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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Dataset for a research study on scientific productivity of Polish technical universities (Poznań University of Technology 2016-2020).
Dane BadawczeThis dataset was created for the purpose of research on scientific productivity at Polish technical universities.
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Dataset for a research study on scientific productivity of Polish technical universities (Białystok University of Technology 2016-2020).
Dane BadawczeThis dataset was created for the purpose of research on scientific productivity at Polish technical universities.
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Dataset for a research study on scientific productivity of Polish technical universities (Opole University of Technology 2016-2020).
Dane BadawczeThis dataset was created for the purpose of research on scientific productivity at Polish technical universities.
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Dataset for a research study on scientific productivity of Polish technical universities (Lublin University of Technology 2016-2020).
Dane BadawczeThis dataset was created for the purpose of research on scientific productivity at Polish technical universities.
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Dataset for a research study on scientific productivity of Polish technical universities (University of Bielsko-Biała ATH 2016-2020).
Dane BadawczeThis dataset was created for the purpose of research on scientific productivity at Polish technical universities.
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Dataset for a research study on scientific productivity of Polish technical universities (Warsaw University of Technology 2016-2020).
Dane BadawczeThis dataset was created for the purpose of research on scientific productivity at Polish technical universities.
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Dataset for a research study on scientific productivity of Polish technical universities (Rzeszów University of Technology 2016-2020).
Dane BadawczeThis dataset was created for the purpose of research on scientific productivity at Polish technical universities.
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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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Dataset for a research study on scientific productivity of Polish technical universities (Częstochowa University Of Technology 2016-2020).
Dane BadawczeThis dataset was created for the purpose of research on scientific productivity at Polish technical universities.
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Dataset for a research study on scientific productivity of Polish technical universities (Lodz University of Technology 2016-2020).
Dane BadawczeThis dataset was created for the purpose of research on scientific productivity at Polish technical universities.
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Dataset for a research study on scientific productivity of Polish technical universities (Wrocław 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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Dataset for a research study on scientific productivity of Polish technical universities (West Pomeranian University Of Technology 2016-2020).
Dane BadawczeThis dataset was created for the purpose of research on scientific productivity at Polish technical universities.
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Dataset for a research study on scientific productivity of Polish technical universities (Cracow University of Technology 2016-2020).
Dane BadawczeThis dataset was created for the purpose of research on scientific productivity at Polish technical universities.
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Dataset for a research study on scientific productivity of Polish technical universities (Radom University of Technology 2016-2020).
Dane BadawczeThis dataset was created for the purpose of research on scientific productivity at Polish technical universities.
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Dataset for a research study on scientific productivity of Polish technical universities (Kielce University Of Technology 2016-2020).
Dane BadawczeThis dataset was created for the purpose of research on scientific productivity at Polish technical universities.