Filters
total: 927
filtered: 107
Search results for: indoles
-
HRV and BPV indices in differentiating OSA patients from healthy controls
Open Research DataThe various HRV and BPV indices computed for the purpose of the analyses described in the paper “Differentiating patients with obstructive sleep apnea from healthy controls based on heart rate–blood pressure coupling quantified by entropy-based indices” by P. Pilarczyk, G. Graff, J.M. Amigó, K. Tessmer, K. Narkiewicz, and B. Graff.
-
The database of indices computed from RR-intervals of length 512 of 46 healthy subjects at rest
Open Research DataThis 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.
-
Cross-validation for triplets of classical HRV and BPV indices in differentiating OSA patients from healthy controls
Open Research DataResults of cross-validation for triplets of classical HRV and BPV indices, as described in the paper “Differentiating patients with obstructive sleep apnea from healthy controls based on heart rate–blood pressure coupling quantified by entropy-based indices” by P. Pilarczyk, G. Graff, J.M. Amigó, K. Tessmer, K. Narkiewicz, and B. Graff.
-
Cross-validation for triplets of HRV and BPV indices based on ordinal patterns in differentiating OSA patients from healthy controls
Open Research DataResults of cross-validation for triplets of HRV and BPV indices based on ordinal patterns, as described in the paper “Differentiating patients with obstructive sleep apnea from healthy controls based on heart rate–blood pressure coupling quantified by entropy-based indices” by P. Pilarczyk, G. Graff, J.M. Amigó, K. Tessmer, K. Narkiewicz, B. Graff.
-
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
Open Research DataThis 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.
-
Ljung-Box test values of selected companies of the Warsaw Stock Exchange
Open Research DataThe following dataset includes the Warsaw Stock Exchange market analysis using the Ljung-Box test. Partial autocorrelations up to the 5th order were analyzed, because it will allow to observe the relationship within one week of stock exchange quotations. In the case of the WIG index, the 1st and 2nd order correlation turned out to be statistically significant....
-
WIG rate of return histogram and normal distribution curve
Open Research DataThe conducted market analysis covered the period of stock exchange quotations from the beginning of 2010 to the end of 2019 (04/01/2010 - 30/12/2019). Daily data was used, in the form of closing prices of indices operating on the Warsaw Stock Exchange. In order to obtain a complete and generalized picture of the market, the quotations of 4 indices were...
-
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
Open Research DataThis 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.
-
The database of normal RR-intervals of length up to 512 of 46 healthy subjects at rest
Open Research DataThis 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.
-
Fire Weather Index data for Poland (March – September 2019) based on high-resolution Weather Research and Forecasting Model
Open Research DataThis dataset contains forecasted FWI indices calculated for the period: March 1 - September 30, 2019, based on the meteorological fields derived from the Weather Research and Forecasting Model (WRF) ver. 4.2.1. For each day FWI data with the forecast range equal 24 and 48 hour were stored in GeoTIFF files. In addition, soil moisture and temperature...
-
Parameters and statistics of models made for selected companies of the Warsaw Stock Exchange
Open Research DataFor the WIG, WIG20 and mWIG40 indices, no day, week or month statistically differs from the average level of the index, which indicates no anomalies. The situation is different only for the index of small companies. In the case of sWIG80, the mean values on Friday, week 5 and 6, and during January, February and June were statistically different at the...
-
Poverty rate in Poland in 2008-2016
Open Research DataThe poverty rate in Poland is also systematically falling. According to Eurostat statistics, poor households are considered to have incomes lower than 60% of the average household income in a given country.
-
Share price and capitalization of selected banks in 2007-2012
Open Research DataThe crisis also caused the value as measured by the stock market indices of the 5 largest banks in the US to decline by as much as 18 times. The table below shows the stock exchange valuation of the 5 largest banks, taking into account the period 2007-2012. When analyzing the activities of banks through the prism of the value of their stock exchange...
-
Study of the influence of the presence of Dr fimbriae on the adherence of cells of the recombinant Escherichia coli strain: AAEC191A/pCC90 to glass in a dynamic system
Open Research DataThe attachment of bacteria begins the process of surface colonization, called biofilm development, characterized by a number of physicochemical and molecular interactions. Adherence to inert surfaces typically involves nonspecific interactions, whereas adherence to biological surfaces is associated with specific ligand-receptor interactions. In this...
-
Study of the influence of the presence of Dr fimbriae on the adherence of cells of the recombinant Escherichia coli strain: AAEC191A/pCC90 to polystyrene in a dynamic system
Open Research DataThe attachment of bacteria begins the process of surface colonization, called biofilm development, characterized by a number of physicochemical and molecular interactions. Adherence to inert surfaces typically involves nonspecific interactions, whereas adherence to biological surfaces is associated with specific ligand-receptor interactions. In this...
-
Study of the influence of the presence of Dr fimbriae on the adherence of cells of the recombinant Escherichia coli strain: AAEC191A/pACYCpBAD to polystyrene in a dynamic system
Open Research DataThe attachment of bacteria begins the process of surface colonization, called biofilm development, characterized by a number of physicochemical and molecular interactions. Adherence to inert surfaces typically involves nonspecific interactions, whereas adherence to biological surfaces is associated with specific ligand-receptor interactions. In this...
-
Study of the influence of the presence of Dr fimbriae on the adherence of cells of the recombinant Escherichia coli strain: AAEC191A/pACYCpBAD to glass in a dynamic system
Open Research DataThe attachment of bacteria begins the process of surface colonization, called biofilm development, characterized by a number of physicochemical and molecular interactions. Adherence to inert surfaces typically involves nonspecific interactions, whereas adherence to biological surfaces is associated with specific ligand-receptor interactions. In this...
-
Study of the influence of the presence of Dr fimbriae on the adherence of cells of the recombinant Escherichia coli strain: BL21(DE3)/pCC90 to polystyrene in a dynamic system
Open Research DataThe attachment of bacteria begins the process of surface colonization, called biofilm development, characterized by a number of physicochemical and molecular interactions. Adherence to inert surfaces typically involves nonspecific interactions, whereas adherence to biological surfaces is associated with specific ligand-receptor interactions. In this...
-
Study of the influence of the presence of Dr fimbriae on the adherence of cells of the recombinant Escherichia coli strain: BL21(DE3)/pACYCpBAD to glass in a dynamic system
Open Research DataThe attachment of bacteria begins the process of surface colonization, called biofilm development, characterized by a number of physicochemical and molecular interactions. Adherence to inert surfaces typically involves nonspecific interactions, whereas adherence to biological surfaces is associated with specific ligand-receptor interactions. In this...
-
Study of the influence of the presence of Dr fimbriae on the adherence of cells of the recombinant Escherichia coli strain: BL21(DE3)/pCC90 to glass in a dynamic system
Open Research DataThe attachment of bacteria begins the process of surface colonization, called biofilm development, characterized by a number of physicochemical and molecular interactions. Adherence to inert surfaces typically involves nonspecific interactions, whereas adherence to biological surfaces is associated with specific ligand-receptor interactions. In this...
-
Study of the influence of the presence of Dr fimbriae on the adherence of cells of the recombinant Escherichia coli strain: BL21(DE3)/pACYCpBAD to polystyrene in a dynamic system
Open Research DataThe attachment of bacteria begins the process of surface colonization, called biofilm development, characterized by a number of physicochemical and molecular interactions. Adherence to inert surfaces typically involves nonspecific interactions, whereas adherence to biological surfaces is associated with specific ligand-receptor interactions. In this...
-
The database of interpolated RR-intervals of original length 512 of 41 patients at rest hospitalized due to the episode of acute ischemic stroke
Open Research DataThis 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.
-
The database of interpolated RR-intervals of length 512 of 46 healthy subjects at rest
Open Research DataThis 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.
-
Dataset for a research study on scientific productivity of Polish technical universities (Silesian University Of Technology 2016-2020).
Open Research DataThis 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...
-
Dataset for a research study on scientific productivity of Polish technical universities (Gdańsk Tech 2016-2020)
Open Research DataThis 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...
-
Dataset for a research study on scientific productivity of Polish technical universities (Poznań University of Technology 2016-2020).
Open Research DataThis dataset was created for the purpose of research on scientific productivity at Polish technical universities.
-
Dataset for a research study on scientific productivity of Polish technical universities (Białystok University of Technology 2016-2020).
Open Research DataThis dataset was created for the purpose of research on scientific productivity at Polish technical universities.
-
Dataset for a research study on scientific productivity of Polish technical universities (Opole University of Technology 2016-2020).
Open Research DataThis dataset was created for the purpose of research on scientific productivity at Polish technical universities.
-
Dataset for a research study on scientific productivity of Polish technical universities (Lublin University of Technology 2016-2020).
Open Research DataThis dataset was created for the purpose of research on scientific productivity at Polish technical universities.
-
Dataset for a research study on scientific productivity of Polish technical universities (University of Bielsko-Biała ATH 2016-2020).
Open Research DataThis dataset was created for the purpose of research on scientific productivity at Polish technical universities.
-
Dataset for a research study on scientific productivity of Polish technical universities (Warsaw University of Technology 2016-2020).
Open Research DataThis dataset was created for the purpose of research on scientific productivity at Polish technical universities.
-
Dataset for a research study on scientific productivity of Polish technical universities (Rzeszów University of Technology 2016-2020).
Open Research DataThis dataset was created for the purpose of research on scientific productivity at Polish technical universities.
-
Dataset for a research study on scientific productivity of Polish technical universities (AGH University of Science and Technology 2016-2020).
Open Research DataThis dataset was created for the purpose of research on scientific productivity at Polish technical universities.
-
Dataset for a research study on scientific productivity of Polish technical universities (Częstochowa University Of Technology 2016-2020).
Open Research DataThis dataset was created for the purpose of research on scientific productivity at Polish technical universities.
-
Dataset for a research study on scientific productivity of Polish technical universities (Lodz University of Technology 2016-2020).
Open Research DataThis dataset was created for the purpose of research on scientific productivity at Polish technical universities.
-
Dataset for a research study on scientific productivity of Polish technical universities (Wrocław University of Science and Technology 2016-2020).
Open Research DataThis dataset was created for the purpose of research on scientific productivity at Polish technical universities.
-
Dataset for a research study on scientific productivity of Polish technical universities (West Pomeranian University Of Technology 2016-2020).
Open Research DataThis dataset was created for the purpose of research on scientific productivity at Polish technical universities.
-
Dataset for a research study on scientific productivity of Polish technical universities (Cracow University of Technology 2016-2020).
Open Research DataThis dataset was created for the purpose of research on scientific productivity at Polish technical universities.
-
Dataset for a research study on scientific productivity of Polish technical universities (Radom University of Technology 2016-2020).
Open Research DataThis dataset was created for the purpose of research on scientific productivity at Polish technical universities.
-
Dataset for a research study on scientific productivity of Polish technical universities (Kielce University Of Technology 2016-2020).
Open Research DataThis dataset was created for the purpose of research on scientific productivity at Polish technical universities.
-
Dataset for a research study on scientific productivity of Polish technical universities (Koszalin University of Technology 2016-2020).
Open Research DataThis 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...
-
Which is better in fat times and in lean times: the macho man vs. the nice guy? Study 1 dataset
Open Research DataThe dataset from cross-cultural study conducted in Poland and Norway in the area of gender stereotypes. Our study was conducted in two countries differing with regard to gender equality indices relating to the extent to which men are allowed to manifest gender-atypical behavior and influencing mate preferences of women. Polish (N = 106) and Norwegian...
-
Chromium FTW dataset
Open Research DataThis dataset contains the results of chromium and nutrients (N and PO4-P) removal in floating treatment wetland microcosm experiment with two cosmopolitan species of parennials: Phragmites australis and Iris pseudacorus.
-
Bibliometric data for a research study on scientific productivity of Polish technical universities (Łódź University of Technology 2016-2020) retrieved by InCites benchmarking tool.
Open Research DataThis 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...
-
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.
Open Research DataThis 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...
-
Dataset of bibliometric data for a research study on scientific productivity of Polish economic universities (Warsaw School of Economics 2016-2020) retrieved by InCites benchmarking tool.
Open Research DataThis dataset was created for the purpose of research on scientific productivity at Polish economic 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...
-
Bibliometric data for a research study on scientific productivity of Polish technical universities (Lublin University of Technology 2016-2020) retrieved by InCites benchmarking tool.
Open Research DataThis 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...
-
Bibliometric data for a research study on scientific productivity of Polish technical universities (Gdańsk University of Technology 2016-2020) retrieved by InCites benchmarking tool.
Open Research DataThis 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...
-
Bibliometric data for a research study on scientific productivity of Polish technical universities (Kielce University of Technology 2016-2020) retrieved by InCites benchmarking tool.
Open Research DataThis 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...
-
Bibliometric data for a research study on scientific productivity of Polish technical universities (Technical University Częstochowa 2016-2020) retrieved by InCites benchmarking tool.
Open Research DataThis 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...