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Search results for: parametry nagniatania
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Long-term measurement of physiological parameters.
Open Research DataThe data set was obtained during the project focus on the determination of changes in physiological parameters due to a stressful situation.The measurements were conducted with the system which consists e.g. sensors of temperature, skin resistance, and pulse.Long-term (up to 90 minutes) measurement of physiological parameters was performed on the healthy...
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Short-term measurement of physiological parameters - child (2)
Open Research DataThe data set was obtained during the project focus on the determination of changes in physiological parameters due to a stressful situation.The measurements were conducted with the system which consists e.g. sensors of temperature, skin resistance, and pulse.Short-term (5 minutes) measurements of physiological parameters were performed on the healthy...
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Parameter values for topological chaos in the reduced Chialvo model
Open Research DataThe following dataset is connected with a map-based neuron model introduced by D. Chialvo (Chaos, Solitons & Fractals, 5 (3-4) 1995). The reduced version of this model is a one dimensional discrete system which describes the evolution of the membrane voltage when the value of the second variable, the recovery variable, is fixed. We have recently...
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Dynamics of S-unimodal maps used in population modeling.
Open Research DataS-unimodal maps are maps of the interval with negative Schwarzian derivative and having only one turning point (such that the map is increasing to the left of the turning point and decreasing to the right of it). Theory of S-unimodal maps is now a well-developed branch of discrete dynamical systems, including famous Singer theorem which implies existence...
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Long-term measurement of physiological parameters - adult (120 minutes)
Open Research DataThe data set was obtained during the project focus on the determination of changes in physiological parameters due to a stressful situation.The measurements were conducted with the system which consists e.g. sensors of temperature, skin resistance, and pulse.Long-term (120 minutes) measurement of physiological parameters was performed on the healthy...
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Long-term measurement of physiological parameters - a teenager (105 minutes)
Open Research DataThe data set was obtained during the project focus on the determination of changes in physiological parameters due to a stressful situation.The measurements were conducted with the system which consists e.g. sensors of temperature, skin resistance, and pulse.A long-term (105 minutes) measurement of physiological parameters was performed on the healthy...
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Long-term measurement of physiological parameters - a teenager (100 minutes)
Open Research DataThe data set was obtained during the project focus on the determination of changes in physiological parameters due to a stressful situation.The measurements were conducted with the system which consists e.g. sensors of temperature, skin resistance, and pulse.Long-term (100 minutes) measurement of physiological parameters was performed on the healthy...
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Long-term measurement of physiological parameters - an adult (100 minutes)
Open Research DataThe data set was obtained during the project focus on the determination of changes in physiological parameters due to a stressful situation.The measurements were conducted with the system which consists e.g. sensors of temperature, skin resistance, and pulse.Long-term (100 minutes) measurement of physiological parameters was performed on the healthy...
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Long-term measurement of physiological parameters - an adult (70 minutes)
Open Research DataThe data set was obtained during the project focus on the determination of changes in physiological parameters due to a stressful situation.The measurements were conducted with the system which consists e.g. sensors of temperature, skin resistance, and pulse.A long-term (70 minutes) measurement of physiological parameters was performed on the healthy...
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Long-term measurement of physiological parameters - a teenager (60 min)
Open Research DataThe data set was obtained during the project focus on the determination of changes in physiological parameters due to a stressful situation.The measurements were conducted with the system which consists e.g. sensors of temperature, skin resistance, and pulse.Long-term (60 minutes) measurement of physiological parameters was performed on the healthy...
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Measurements of no-load and short-circuit parameters of power transformers with taps
Open Research Data1) 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).
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Long-term measurement of physiological parameters - an adult (60 minutes)
Open Research DataThe data set was obtained during the project focus on the determination of changes in physiological parameters due to a stressful situation.The measurements were conducted with the system which consists e.g. sensors of temperature, skin resistance, and pulse.Long-term (60 minutes) measurement of physiological parameters was performed on the healthy...
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Long-term measurement of physiological parameters - child (120 min)
Open Research DataThe data set was obtained during the project focus on the determination of changes in physiological parameters due to a stressful situation.The measurements were conducted with the system which consists e.g. sensors of temperature, skin resistance, and pulse.Long-term (120 minutes) measurement of physiological parameters was performed on the healthy...
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Long-term measurement of physiological parameters - child (60 minutes)
Open Research DataThe data set was obtained during the project focus on the determination of changes in physiological parameters due to a stressful situation.The measurements were conducted with the system which consists e.g. sensors of temperature, skin resistance, and pulse.Long-term (60 minutes) measurement of physiological parameters was performed on the healthy...
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Optical Parameters Stability Over Time of Porous Phantoms Mimicking Tissues
Open Research DataOptical phantoms are used to validate optical measurement methods. The stability of their optical parameters over time allows them to be used and stored over long-term periods while maintaining their optical parameters. The aim of the presented research was to investigate the stability of fabricated porous phantoms, which can be used as a lung phantom...
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Long-term measurement of physiological parameters - a teenager (60 minutes) - the 2nd serie
Open Research DataThe data set was obtained during the project focus on the determination of changes in physiological parameters due to a stressful situation.The measurements were conducted with the system which consists e.g. sensors of temperature, skin resistance, and pulse.A long-term (60 minutes) measurement of physiological parameters was performed on the healthy...
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Recurrence times in the Morse sets for a two-dimensional discrete neuron model (low resolution)
Open Research DataThis dataset contains selected results of rigorous numerical computations conducted in the framework of the research described in the paper “Topological-numerical analysis of a two-dimensional discrete neuron model” by Paweł Pilarczyk, Justyna Signerska-Rynkowska and Grzegorz Graff. A preprint of this paper is available at https://doi.org/10.48550/arXiv.2209.03443.
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Morse decompositions for a two-dimensional discrete neuron model (low resolution)
Open Research DataThis dataset contains selected results of rigorous numerical computations conducted in the framework of the research described in the paper “Topological-numerical analysis of a two-dimensional discrete neuron model” by Paweł Pilarczyk, Justyna Signerska-Rynkowska and Grzegorz Graff. A preprint of this paper is available at https://doi.org/10.48550/arXiv.2209.03443.
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Morse decompositions for a two-dimensional discrete neuron model (limited range)
Open Research DataThis dataset contains selected results of rigorous numerical computations conducted in the framework of the research described in the paper “Topological-numerical analysis of a two-dimensional discrete neuron model” by Paweł Pilarczyk, Justyna Signerska-Rynkowska and Grzegorz Graff. A preprint of this paper is available at https://doi.org/10.48550/arXiv.2209.03443.
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Morse decompositions for a two-dimensional discrete neuron model (full range)
Open Research DataThis dataset contains selected results of rigorous numerical computations conducted in the framework of the research described in the paper “Topological-numerical analysis of a two-dimensional discrete neuron model” by Paweł Pilarczyk, Justyna Signerska-Rynkowska and Grzegorz Graff. A preprint of this paper is available at https://doi.org/10.48550/arXiv.2209.03443.
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Tropospheric parameters derived from the selected IGS stations in the global tropics for the years 2001-2018
Open Research DataThis dataset contains daily GNSS-derived zenith tropospheric delay (ZTD), a posteriori corrected zenith wet delay (ZWD), and precipitable water vapour (PWV) time series. These troposphere-related data were estimated for the period between January 2001 and December 2018, for the 43 International GNSS Service (IGS) stations, located in the global tropics....
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Multi-parameter dataset on limnological variables and modern sedimentation at Lake Żabińskie, northeast Poland, 2012-2021
Open Research DataThe dataset presents the results of a decade-long investigations of limnological processes and sedimentation at Lake Żabińskie located in northeast Poland. We collected a wide range of information on the lake water physical and chemical characteristics, modern sedimentation dynamics, and hydrochemistry of incoming streams and outflow from the lake....
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Conley-Morse graphs for a two-dimensional discrete neuron model (low resolution)
Open Research DataThis dataset contains selected results of rigorous numerical computations conducted in the framework of the research described in the paper “Topological-numerical analysis of a two-dimensional discrete neuron model” by Paweł Pilarczyk, Justyna Signerska-Rynkowska and Grzegorz Graff. A preprint of this paper is available at https://doi.org/10.48550/arXiv.2209.03443.
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Conley-Morse graphs for a two-dimensional discrete neuron model (limited range)
Open Research DataThis dataset contains selected results of rigorous numerical computations conducted in the framework of the research described in the paper “Topological-numerical analysis of a two-dimensional discrete neuron model” by Paweł Pilarczyk, Justyna Signerska-Rynkowska and Grzegorz Graff. A preprint of this paper is available at https://doi.org/10.48550/arXiv.2209.03443.
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Conley-Morse graphs for a two-dimensional discrete neuron model (full range)
Open Research DataThis dataset contains selected results of rigorous numerical computations conducted in the framework of the research described in the paper “Topological-numerical analysis of a two-dimensional discrete neuron model” by Paweł Pilarczyk, Justyna Signerska-Rynkowska and Grzegorz Graff. A preprint of this paper is available at https://doi.org/10.48550/arXiv.2209.03443.
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Sliding friction of alumina (Al2O3) with friction induced vibrations
Open Research DataTest files containing data on experiments in self mated sliding contact of alumina Al2O3 lubricated with either water or paraffin oil. Tests run in variable load/velocity conditions and with different dynamic settings of the test rig (PT-3 tribometer). The aim of the research was to attempt in finding correlations between the dynamic characteristics...
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Katania, 2023, Road SS114 – csv data from sensors on bicycle
Open Research DataData collected with bicycle-mounted sensors on 06.07.2023 while cycling on the cycle path along the SS114 road in Catania. The data includes parameters such as: gps coordinates- txt files, brain waves and heart rate- csv file.
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Dynamic impedance spectra of programmable dynamically changing RC model based on digital potentiometers
Open Research DataThe dataset presents non-stationary impedance spectra of the RC model presented in the figure below. This model contains two digital potentiometers controlled digitally by the microcontroller. This solution allows to programmably control the value of the model impedance. Thanks to this, the model can be used as a test engine for evaluation of the dynamic...
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Experimental Study of the Influence of Noise Level on the Uncertainty Value in a Measurement System Containing an Analog-to-Digital Converter
Open Research DataFor newly developed measuring systems it is easy to estimate type B uncertainties based on the technical data of the measuring modules applied. However, it is difficult to estimate A type un-certainties due to the unknown type and level of interferences infiltrating into the measuring sys-tem. This is a particularly important problem for measurements...
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Determination of changes in viscosity of hydrogel depending on shear rate (1.1 to 55 s-1).
Open Research DataThe rheological characteristics of hydrogel were made on the basis of a viscosity measurement using a Brookfield viscometer, using LV SC4 - 25 spindle and shear rates from 1.1 to 55 s-1.
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Determination of changes in viscosity of hydrogel depending on shear rate (1.7 to 34 s-1).
Open Research DataThe rheological characteristics of hydrogel were made on the basis of a viscosity measurement using a Brookfield viscometer, using LV SC4 - 27 spindle and shear rates from 1.7 to 34 s-1.
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Determination of changes in viscosity of hydrogel depending on shear rate (6.6 to 330 s-1).
Open Research DataThe rheological characteristics of hydrogel were made on the basis of a viscosity measurement using a Brookfield viscometer, using LV SC4 - 18 spindle and shear rates from 6.6 to 330 s-1.
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3D printed ABS thermoplastic vs. steel. Dry sliding wear test in constant load & velocity ring on flat configuration. Test parameters: print layer thickness and orientation. Test symbol: 009_v_2
Open Research DataData gathered in sliding ring-on-block (flat contact) tribological experiment. Materials: alloy steel (heat treated) vs. ABS plastic.
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3D printed ABS thermoplastic vs. steel. Dry sliding wear test in constant load & velocity ring on flat configuration. Test parameters: print layer thickness and orientation. Test symbol: 009_v_3
Open Research DataData gathered in sliding ring-on-block (flat contact) tribological experiment. Materials: alloy steel (heat treated) vs. ABS plastic.
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3D printed ABS thermoplastic vs. steel. Dry sliding wear test in constant load & velocity ring on flat configuration. Test parameters: print layer thickness and orientation. Test symbol: 009_h_3
Open Research DataData gathered in sliding ring-on-block (flat contact) tribological experiment. Materials: alloy steel (heat treated) vs. ABS plastic.
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3D printed ABS thermoplastic vs. steel. Dry sliding wear test in constant load & velocity ring on flat configuration. Test parameters: print layer thickness and orientation. Test symbol: 019_v_5
Open Research DataData gathered in sliding ring-on-block (flat contact) tribological experiment. Materials: alloy steel (heat treated) vs. ABS plastic.
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3D printed ABS thermoplastic vs. steel. Dry sliding wear test in constant load & velocity ring on flat configuration. Test parameters: print layer thickness and orientation. Test symbol: 009_h_5
Open Research DataData gathered in sliding ring-on-block (flat contact) tribological experiment. Materials: alloy steel (heat treated) vs. ABS plastic.
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3D printed ABS thermoplastic vs. steel. Dry sliding wear test in constant load & velocity ring on flat configuration. Test parameters: print layer thickness and orientation. Test symbol: 009_h_4
Open Research DataData gathered in sliding ring-on-block (flat contact) tribological experiment. Materials: alloy steel (heat treated) vs. ABS plastic.
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3D printed ABS thermoplastic vs. steel. Dry sliding wear test in constant load & velocity ring on flat configuration. Test parameters: print layer thickness and orientation. Test symbol: 039_h_4
Open Research DataData gathered in sliding ring-on-block (flat contact) tribological experiment. Materials: alloy steel (heat treated) vs. ABS plastic.
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3D printed ABS thermoplastic vs. steel. Dry sliding wear test in constant load & velocity ring on flat configuration. Test parameters: print layer thickness and orientation. Test symbol: 019_v_4
Open Research DataData gathered in sliding ring-on-block (flat contact) tribological experiment. Materials: alloy steel (heat treated) vs. ABS plastic.
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3D printed ABS thermoplastic vs. steel. Dry sliding wear test in constant load & velocity ring on flat configuration. Test parameters: print layer thickness and orientation. Test symbol: 019_h_5
Open Research DataData gathered in sliding ring-on-block (flat contact) tribological experiment. Materials: alloy steel (heat treated) vs. ABS plastic.
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3D printed ABS thermoplastic vs. steel. Dry sliding wear test in constant load & velocity ring on flat configuration. Test parameters: print layer thickness and orientation. Test symbol: 039_v_4
Open Research DataData gathered in sliding ring-on-block (flat contact) tribological experiment. Materials: alloy steel (heat treated) vs. ABS plastic.
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3D printed ABS thermoplastic vs. steel. Dry sliding wear test in constant load & velocity ring on flat configuration. Test parameters: print layer thickness and orientation. Test symbol: 009_v_4
Open Research DataData gathered in sliding ring-on-block (flat contact) tribological experiment. Materials: alloy steel (heat treated) vs. ABS plastic.
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3D printed ABS thermoplastic vs. steel. Dry sliding wear test in constant load & velocity ring on flat configuration. Test parameters: print layer thickness and orientation. Test symbol: 039_v_3
Open Research DataData gathered in sliding ring-on-block (flat contact) tribological experiment. Materials: alloy steel (heat treated) vs. ABS plastic.
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3D printed ABS thermoplastic vs. steel. Dry sliding wear test in constant load & velocity ring on flat configuration. Test parameters: print layer thickness and orientation. Test symbol: 019_v_3
Open Research DataData gathered in sliding ring-on-block (flat contact) tribological experiment. Materials: alloy steel (heat treated) vs. ABS plastic.
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3D printed ABS thermoplastic vs. steel. Dry sliding wear test in constant load & velocity ring on flat configuration. Test parameters: print layer thickness and orientation. Test symbol: 019_h_3
Open Research DataData gathered in sliding ring-on-block (flat contact) tribological experiment. Materials: alloy steel (heat treated) vs. ABS plastic.
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3D printed ABS thermoplastic vs. steel. Dry sliding wear test in constant load & velocity ring on flat configuration. Test parameters: print layer thickness and orientation. Test symbol: 039_h_5
Open Research DataData gathered in sliding ring-on-block (flat contact) tribological experiment. Materials: alloy steel (heat treated) vs. ABS plastic.
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3D printed ABS thermoplastic vs. steel. Dry sliding wear test in constant load & velocity ring on flat configuration. Test parameters: print layer thickness and orientation. Test symbol: 019_h_4
Open Research DataData gathered in sliding ring-on-block (flat contact) tribological experiment. Materials: alloy steel (heat treated) vs. ABS plastic.
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3D printed ABS thermoplastic vs. steel. Dry sliding wear test in constant load & velocity ring on flat configuration. Test parameters: print layer thickness and orientation. Test symbol: 039_v_2
Open Research DataData gathered in sliding ring-on-block (flat contact) tribological experiment. Materials: alloy steel (heat treated) vs. ABS plastic.
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3D printed ABS thermoplastic vs. steel. Dry sliding wear test in constant load & velocity ring on flat configuration. Test parameters: print layer thickness and orientation. Test symbol: 039_h_3
Open Research DataData gathered in sliding ring-on-block (flat contact) tribological experiment. Materials: alloy steel (heat treated) vs. ABS plastic.