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Search results for: wzajemne wspoldzialanie pomiedzy klastrem morskim i polityka morska
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Miedzyborz 2021 - video data I - pedestrian, bicycles, vehicles
Open Research DataMiedzyborz 2021 - video data - pedestrian, bicycles, vehicles
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Krotoszyn 2021 - video data I - pedestrian, bicycles, vehicles
Open Research DataKrotoszyn 2021 - video data - pedestrian, bicycles, vehicles
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state aid for research, development and innovation ( R+D+I)
Open Research DataThe dataset encompasses a choice of important legal acts, a list of selected Polish bibliography, some important individual EC decisions issued on the topic of state aid for research, development, and innovation during the budgetary periods 2007-2013 and 2014-2020. Thanks to that the reader gets the possibility to acquire basic knowledge on the abovementioned...
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Gostyn 2021 - video data I - pedestrian, bicycles, vehicles
Open Research DataGostyn 2021 - video data - pedestrian, bicycles, vehicles
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Gulf of Gdańsk monitoring conducted by the Institute of Oceanography, University of Gdańsk, in 1981-1994
Open Research DataResults of the monitoring of the Gulf of Gdańsk environment are included in this archival data set. The measurements were conducted by the Institute of the Oceanography of the University of Gdańsk (IO UG) from 1981 till 1994 at the fixed sampling stations covering the area located between Hel Peninsula and the coast of the Gulf of Gdańsk, which extended...
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Case Study NEB Atlas / part I - 3D Models / Brunnshög, Lund
Open Research DataThe data presents the results of work on the analysis of contemporary neighbourhoods. The aim of this part of the research was to create a digital model - a simplified digital twin - for selected parts of housing estates already realised in various cities in Europe. This group presents a model for a fragment of the Brunnshög district in Lund, Sweden....
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Source code - AI models (MLM1-5 - series I-III - QNM opt)
Open Research DataSource code - AI models (MLM1-5 - series I-III - QNM opt) for the paper "Computational Complexity and Its Influence on Concrete Compressive Strength Prediction Capabilities of Machine Learning Models for Concrete Mix Design Support" accepted for publication.
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Case Study NEB Atlas / part I - 3D Models / King's Cross, London
Open Research DataThe data presents the results of work on the analysis of contemporary neighbourhoods. The aim of this part of the research was to create a digital model - a simplified digital twin - for selected parts of housing estates already realised in various cities in Europe. This group presents a model for a fragment of the King's Cross, London, UK. The students...
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Cooperation between NGOs from Tricity and public administration entities
Open Research DataResearch is an element of the Project “Civil Society Development for Participatory Democracy in Shida Kartli Region implemented by Instytut Badań nad Polityką Europejską (Research Institute for European Policy) in cooperation with Information and Socio-Economic Problems Research Center (Georgia), Agria Universitas Association (Hungary) and Civipolis,...
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Morse decompositions for a two-patch vaccination model
Open Research DataThis dataset contains selected results of rigorous numerical computations described in Section 5 of the paper "Rich bifurcation structure in a two-patch vaccination model" by D.H. Knipl, P. Pilarczyk, G. Röst, published in SIAM Journal on Applied Dynamical Systems (SIADS), Vol. 14, No. 2 (2015), pp. 980–1017, doi: 10.1137/140993934.
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Gdańsk University of Technology graduates’ self-assessment of selected digital competencies by gender – the year 2017, part I
Open Research DataThe dataset includes data from the survey on the Gdańsk University of Technology graduates' from the year 2017 on their self-assessment of selected digital competencies by gender. The survey was conducted in 2019, two years after the respondents obtained graduate status. The research sample included 1594 respondents. To summarize, in general, respondents...
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Gdańsk University of Technology graduates’ self-assessment of selected digital competencies by gender – the year 2018, part I
Open Research DataThe dataset includes data from the survey on the Gdańsk University of Technology graduates' from the year 2018 on their self-assessment of selected digital competencies by gender. The survey was conducted in 2020, two years after the respondents obtained graduate status. The research sample included 1315 respondents. To summarize, in general, respondents...
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Gdańsk University of Technology graduates’ self-assessment of selected digital competencies by gender – the year 2016, part I
Open Research DataThe dataset includes data from the survey on the Gdańsk University of Technology graduates' from the year 2016 on their self-assessment of selected digital competencies by gender. The survey was conducted in 2018, two years after the respondents obtained graduate status. The research sample included 1947 respondents. To summarize, in general, respondents...
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Gdańsk University of Technology graduates’ self-assessment of selected digital competencies by gender – the year 2017, part I
Open Research DataThe dataset includes data from the survey on the Gdańsk University of Technology graduates' from the year 2017 on their self-assessment of selected digital competencies by gender. The survey was conducted in 2019, two years after the respondents obtained graduate status. The research sample included 1594 respondents. To summarize, in general, respondents...
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Gdańsk University of Technology graduates’ self-assessment of selected digital competencies by gender – the year 2016, part I
Open Research DataThe dataset includes data from the survey on the Gdańsk University of Technology graduates' from the year 2016 on their self-assessment of selected digital competencies by gender. The survey was conducted in 2018, two years after the respondents obtained graduate status. The research sample included 1947 respondents. To summarize, in general, respondents...
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Gdańsk University of Technology graduates’ self-assessment of selected digital competencies by gender – the year 2018, part I
Open Research DataThe dataset includes data from the survey on the Gdańsk University of Technology graduates' from the year 2018 on their self-assessment of selected digital competencies by gender. The survey was conducted in 2020, two years after the respondents obtained graduate status. The research sample included 1315 respondents. To summarize, in general, respondents...
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Conley-Morse graphs for a two-patch vaccination model
Open Research DataThis dataset contains selected results of rigorous numerical computations described in Section 5 of the paper "Rich bifurcation structure in a two-patch vaccination model" by D.H. Knipl, P. Pilarczyk, G. Röst, published in SIAM Journal on Applied Dynamical Systems (SIADS), Vol. 14, No. 2 (2015), pp. 980–1017, doi: 10.1137/140993934.
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Starogard Gdański 2019, Lubichowska - Pomorska street - video data - pedestrian, bicycles, vehicles
Open Research DataThe data contain video traffic data (pedestrian, cyclists, vehicles) registered at Lubichowska street. Date 06.2019, 6:00-18:00. The video camera was installed around intersections at Lubichowska and Pomorska street. Camera was mounted on 7-meter-high mast.
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Starogard Gdański 2019, Pomorska - Pelplińska street - video data - pedestrian, bicycles, vehicles
Open Research DataThe data contain video traffic data (pedestrian, cyclists, vehicles) registered at Pomorska street. Date 13.06.2019, 6:00-18:00. The video camera was installed around intersections at Pomorska and Pelplińska street. Camera was mounted on 7-meter-high mast.
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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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Stargard 2021- video data - pedestrian, bicycles, vehicles
Open Research DataStargard 2021- video data - pedestrian, bicycles, vehicles
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Starogard Gdański 2019, Pomorska – Tadeusza Kościuszki street - video data - pedestrian, bicycles, vehicles
Open Research DataThe data contain video traffic data (pedestrian, cyclists, vehicles) registered at Kościuszki street. Date 13.06.2019, 6:00-18:00. The video camera was installed around intersections at Pomorska and Tadeusza Kościuszki street. Camera was mounted on 7-meter-high mast.
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Morse decompositions for a non-linear Leslie population model with 2 varying parameters
Open Research DataThis dataset contains selected results of rigorous numerical computations conducted in the framework of the research described in the paper "A database schema for the analysis of global dynamics of multiparameter systems" by Z. Arai, W. Kalies, H. Kokubu, K. Mischaikow, H. Oka, P. Pilarczyk, published in SIAM Journal on Applied Dynamical Systems (SIADS),...
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Morse decompositions for a non-linear Leslie population model with 3 varying parameters
Open Research DataThis dataset contains selected results of rigorous numerical computations conducted in the framework of the research described in the paper "A database schema for the analysis of global dynamics of multiparameter systems" by Z. Arai, W. Kalies, H. Kokubu, K. Mischaikow, H. Oka, P. Pilarczyk, published in SIAM Journal on Applied Dynamical Systems (SIADS),...
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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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Sequences of internal transcribed spacer 1, 5.8S ribosomal RNA gene and internal transcribed spacer 2 of psychrotolerant pigment-producing yeast-like fungi
Open Research DataDNA encoding ITS1-5.8S-ITS2 fragments of psychrotolerant pigment-producing yeast-like fungi named Red, Pink and Black were PCR amplified using ITS1 5' TCCGTAGGTGAACCTGCGG 3' and ITS4 5’ TCCTCCGCTTATTGATATGC 3’ primers and sequenced by Sanger method using the same primers.
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Sequences of large subunit ribosomal RNA gene, partial sequence encoding D1/D2 domain of psychrotolerant pigment-producing yeast-like fungi
Open Research DataDNA fragments encoding D1/D2 domain of large subunit ribosomal RNA of psychrotolerant pigment-producing yeast-like fungi named Red, Pink and Black were PCR amplified using NL1 5’ GCATATCAATAAGCGGAGGAAAAG 3’ and NL4 5’ GGTCCGTGTTTCAAGACGG 3’ primers and sequenced by Sanger method using the same primers.
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Pigment production and secretion by psychrotolerant yeast-like fungi at 25 °C for 2 days
Open Research DataThree strains, named Red, Pink and Black, were grown in five different media with the following compositions: 1% peptone K, 2% glucose; 2% peptone K, 2% glucose; 1% yeast extract, 2% glucose; 1% peptone K, 1% yeast extract, 2% glucose; 1% peptone K, 2% yeast extract, 2% glucose (YPD) for 2 days at 25°C with shaking 180 rpm. The cultures were then centrifuged...
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Pigment production and secretion by psychrotolerant yeast-like fungi at 15 °C for 4 days
Open Research DataThree strains, named Red, Pink and Black, were grown in five different media with the following compositions: 1% peptone K, 2% glucose; 2% peptone K, 2% glucose; 1% yeast extract, 2% glucose; 1% peptone K, 1% yeast extract, 2% glucose; 1% peptone K, 2% yeast extract, 2% glucose (YPD) for 4 days at 15°C with shaking 180 rpm. The cultures were then centrifuged...
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Pigment production and secretion by psychrotolerant yeast-like fungi at 20 °C for 2 days
Open Research DataThree strains, named Red, Pink and Black, were grown in five different media with the following compositions: 1% peptone K, 2% glucose; 2% peptone K, 2% glucose; 1% yeast extract, 2% glucose; 1% peptone K, 1% yeast extract, 2% glucose; 1% peptone K, 2% yeast extract, 2% glucose (YPD) for 2 days at 20°C with shaking 180 rpm. The cultures were then centrifuged...
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Pigment production and secretion by psychrotolerant yeast-like fungi at 15 °C for 2 days
Open Research DataThree strains, named Red, Pink and Black, were grown in five different media with the following compositions: 1% peptone K, 2% glucose; 2% peptone K, 2% glucose; 1% yeast extract, 2% glucose; 1% peptone K, 1% yeast extract, 2% glucose; 1% peptone K, 2% yeast extract, 2% glucose (YPD) for 2 days at 15°C with shaking 180 rpm. The cultures were then centrifuged...
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Conley-Morse graphs for a non-linear Leslie population model with 2 varying parameters
Open Research DataThis dataset contains selected results of rigorous numerical computations conducted in the framework of the research described in the paper "A database schema for the analysis of global dynamics of multiparameter systems" by Z. Arai, W. Kalies, H. Kokubu, K. Mischaikow, H. Oka, P. Pilarczyk, published in SIAM Journal on Applied Dynamical Systems (SIADS),...
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Conley-Morse graphs for a non-linear Leslie population model with 3 varying parameters
Open Research DataThis dataset contains selected results of rigorous numerical computations conducted in the framework of the research described in the paper "A database schema for the analysis of global dynamics of multiparameter systems" by Z. Arai, W. Kalies, H. Kokubu, K. Mischaikow, H. Oka, P. Pilarczyk, published in SIAM Journal on Applied Dynamical Systems (SIADS),...
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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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Starogard Gdański 2019, Pomorska – Aleja Jana Pawła II street - video data - pedestrian, bicycles, vehicles
Open Research DataThe data contain video traffic data (pedestrian, cyclists, vehicles) registered at aleja Jana Pawła II street. Date 13.06.2019, 6:00-18:00. The video camera was installed around intersections at Pomorska and Aleja Jana Pawła II street. Camera was mounted on 7-meter-high mast.
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Starogard Gdański 2019, Aleja Niepodległości, Pomorska and Mikołaja Kopernika street - video data - pedestrian, bicycles, vehicles.
Open Research DataThe data contain video traffic data (pedestrian, cyclists, vehicles) registered at Aleja Niepodległości street. Date 13.06.2019, 6:00-18:00. The video camera was installed around intersections at Aleja Niepodległości – Galeria Neptun street and Pomorska – Mikołaja Kopernika street. Camera was mounted on 7-meter-high mast.
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The largest companies in the TSL industry in Poland in 2011
Open Research DataThe data contained in the dataset shows that the most successful transport, forwarding and logistics company in Poland in 2011 was PKP CARGO S.A. The company is the largest carrier in the country, while in the European Union it ranks second in terms of freight transport.
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Database of the minimal sets of Lefschetz periods for Morse-Smale diffeomorphisms of a connected sum of g tori
Open Research DataMorse–Smale diffeomorphisms, structurally stable and having relatively simple dynamics, constitute an important subclass of diffeomorphisms that have been carefully studied during past decades. For a given Morse–Smale diffeomorphism one can consider “Minimal set of Lefschetz periods”, which provides the information about the set of periodic points of...
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Description of symmetrical prolate ellipsoid (sphere) magnetic signature parameters-Be = 50 mT, I = 70 deg, z = -10 m, a =4 m, e = 1, mr = 100
Open Research DataThe Earth magnetic field (Fig.1): BE – total magnetic flux density, BEx – x component of the Earth magnetic flux density, BEy = 0 y component of the Earth magnetic flux density, BEz – z component of the Earth magnetic flux density, I – inclination of the Earth magnetic field.
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Description of symmetrical prolate ellipsoid (sphere) magnetic signature parameters-Be = 50 mT, I = 70 deg, z = -100 m, a =4 m, e = 1, mr = 100
Open Research DataThe Earth magnetic field (Fig.1): BE – total magnetic flux density, BEx – x component of the Earth magnetic flux density, BEy = 0 y component of the Earth magnetic flux density, BEz – z component of the Earth magnetic flux density, I – inclination of the Earth magnetic field.
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Description of symmetrical prolate ellipsoid (sphere) magnetic signature parameters-Be = 50 mT, I = 70 deg, z = -50 m, a =4 m, e = 1, mr = 100
Open Research DataThe Earth magnetic field (Fig.1): BE – total magnetic flux density, BEx – x component of the Earth magnetic flux density, BEy = 0 y component of the Earth magnetic flux density, BEz – z component of the Earth magnetic flux density, I – inclination of the Earth magnetic field.
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Description of symmetrical prolate ellipsoid (sphere) magnetic signature parameters-Be = 50 mT, I = 70 deg, z = -10 m, a =4 m, e = 1, mr = 100
Open Research DataThe Earth magnetic field (Fig.1): BE – total magnetic flux density, BEx – x component of the Earth magnetic flux density, BEy = 0 y component of the Earth magnetic flux density, BEz – z component of the Earth magnetic flux density, I – inclination of the Earth magnetic field.
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Description of symmetrical prolate ellipsoid (sphere) magnetic signature parameters-Be = 50 mT, I = 70 deg, z = -20 m, a =4 m, e = 1, mr = 100
Open Research DataThe Earth magnetic field (Fig.1): BE – total magnetic flux density, BEx – x component of the Earth magnetic flux density, BEy = 0 y component of the Earth magnetic flux density, BEz – z component of the Earth magnetic flux density, I – inclination of the Earth magnetic field.
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Description of symmetrical prolate ellipsoid magnetic signature parameters-Be = 50 mT, I = 70 deg, z = 50 m, q = 80 deg, j = 45 deg, a =4 m, e = 8, mr = 100
Open Research DataThe Earth magnetic field (Fig.1): BE – total magnetic flux density, BEx – x component of the Earth magnetic flux density, BEy = 0 y component of the Earth magnetic flux density, BEz – z component of the Earth magnetic flux density, I – the inclination of the Earth magnetic field.
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Description of symmetrical prolate ellipsoid magnetic signature parameters-Be = 50 mT, I = 70 deg, z = 100 m, q = 90 deg, j = 135 deg, a =4 m, e = 1, mr = 100
Open Research DataThe Earth magnetic field (Fig.1): BE – total magnetic flux density, BEx – x component of the Earth magnetic flux density, BEy = 0 y component of the Earth magnetic flux density, BEz – z component of the Earth magnetic flux density, I – the inclination of the Earth magnetic field.
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Description of symmetrical prolate ellipsoid magnetic signature parameters-Be = 50 mT, I = 70 deg, z = 10 m, q = 100 deg, j = 45 deg, a =4 m, e = 4, mr = 100
Open Research DataThe Earth magnetic field (Fig.1): BE – total magnetic flux density, BEx – x component of the Earth magnetic flux density, BEy = 0 y component of the Earth magnetic flux density, BEz – z component of the Earth magnetic flux density, I – the inclination of the Earth magnetic field.