cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.34808/yvvk-d707
title: Description of symmetrical prolate ellipsoid magnetic signature parameters-Be = 50 mT, I = 70 deg, z = 50 m, q = 90 deg, j = 135 deg, a =4 m, e = 4, mr = 100

description: The 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.
The symmetrical prolate ellipsoid (Fig.2): L – length of ellipsoid, a – radius of ellipsoid, e – unidimensional coefficient, q - vertical angle, j - horizontal angle.
For each scenarios there are following files:
Per_50%Mx_Bx_[BE]_[I]_[z]_[q]_[j]_[a]_[e]_[mr]             Bx – component of the ellipsoid magnetic flux density [nT]
Per_50%Mx_By_[BE]_[I]_[z]_[q]_[j]_[a]_[e]_[mr]            By –  component of the ellipsoid magnetic flux density [nT]
Per_50%Mx_Bz_[BE]_[I]_[z]_[q]_[j]_[a]_[e]_[mr]             Bz – component of the ellipsoid magnetic flux density [nT]
Per_50%Mx_x_[BE]_[I]_[z]_[q]_[j]_[a]_[e]_[mr]               x coordinate [m]
Per_50%Mx _y_[BE]_[I]_[z]_[q]_[j]_[a]_[e]_[mr]              y coordinate [m]
were:
BE [mT], I [deg], z [m], q [deg], j [deg], mr – relative magnetic permeability
Per_50%Mx – permanent magnetization of an ellipsoid in x direction is equal 50% induced magnetization for q = 90 deg and j = 0 deg
For the following parameters: Be = 50 mT, I = 70 deg, z = 50 m, q = 90 deg, j = 135 deg, a =4 m, e = 4, mr = 100
The names files are:
Per_50%Mx_Bx_50_70_50_90_135_4_4_100      Bx – component of the ellipsoid magnetic flux density [nT]
Per_50%Mx_By_50_70_50_90_135_4_4_100       By – component of the ellipsoid magnetic flux density [nT]
Per_50%Mx_Bz_50_70_50_90_135_4_4_100       Bz – component of the ellipsoid magnetic flux density [nT]
Per_50%Mx_x_50_70_50_90_135_4_4_100         x coordinate [m]
Per_50%Mx_y_50_70_50_90_135_4_4_100         y coordinate [m]
For the following parameters: Be = 50 mT, I = 70 deg, z = 10 m, q = 90 deg, j = -90 deg, a =4 m, e = 5, mr = 100
The names files are:
Per_50%Mx_Bx_50_70_10_90_m90_4_5_100  Bx – component of the ellipsoid magnetic flux density [nT]
Per_50%Mx_By_50_70_10_90_m90_4_5_100  By – component of the ellipsoid magnetic flux density [nT]
Per_50%Mx_Bz_50_70_10_90_m90_4_5_100  Bz – component of the ellipsoid magnetic flux density [nT]
Per_50%Mx_x_50_70_10_90_m90_4_5_100     x coordinate [m]
Per_50%Mx_y_50_70_10_90_m90_4_5_100     y coordinate [m]
DOI: 10.34808/zxnk-3c16
title: Forest habitat types in the State Forests in Polish provinces in years 2007- 2008

description: The dataset contains data illustrating changes in forest habitat structure occurring between 2007 and 2008 in various provinces of Poland. It should be noted that this only concerns forests managed by the State Forests National Forest Holding. The term forest area refers to the area of forests excluding land related to forest management. The main source of information for the study is the Forest Data Bank (www.bdl.lasy.gov.pl).
The habitat types included in the dataset are:

Bb – swamp forest
BbG – mountain swamp forest
BG – mountain forest
BMb – mixed swamp forest
BMG – mixed mountain forest
BMśw – fresh mixed forest
BMw – moist mixed forest
BMwyż – upland mixed forest
Bs – dry forest
Bśw – fresh forest
Bw – moist forest
BWG – mountain moist forest
LG – mountain forest
Lł – riparian forest
LłG – mountain riparian forest
Lłwyż – upland riparian forest
LMb – mixed swamp forest
LMG – mixed mountain forest
LMśw – fresh mixed forest
LMw – moist mixed forest
LMwyż – upland mixed forest
Lśw – fresh forest
Lw – moist forest
Lwyż – upland forest
Ol – alder forest
OlJ – ash-alder forest
OlJG – mountain ash-alder forest
OlJwyż – upland ash-alder forest

Types of vertical stand structure:

KO – regeneration class
KDO – pre-regeneration class
BP – structure
DOI: 10.34808/58mr-8288
title: Neural oscillations induced by IAPS pictures (session 25)

description: The data were collected to perform research on the possibility of controlling the content displayed on the monitor screen using human emotional states extracted from EEG signals. The dataset contains recordings of 14-channel EEG signals gathered from seven persons aged 23 - 35 within 26 sessions, during which 45 different random photos, taken from the International Affective Picture System – IAPS collection, were presented. All sessions were collected using the Emotiv Epoc+ device at the 256 Hz sampling rate, equipped with 14 electrodes arranged according to the 10-20 standard system.
The dataset contains three files:(1) session25_EEGLogger.csv,(2) session25_emotion_picture_timestamp.csv,(3) session25_power_brainwaves.csv.
The time-dependent (timestamp is in seconds) raw EEG signals (given in micro Volts) for all electrodes (AF3, F7, F3, FC5, T7, P7, O1, O2, P8, T8, FC6, F4, F8, AF4) are in the file (1). The timestamps (given in seconds) of displaying pictures, self-assessments of the emotional states (levels: sad, neutral, smiling) and the IAPS pictures ID are in the file (2). The display time of each picture is constant and equals 5 seconds. The low-resolution power of brainwaves (theta, alpha, low beta, high beta, and gamma) recorded for all electrodes during the session are in the file (3).
DOI: 10.34808/c7gx-n887
title: EIS measurements at different pO2 and DRT analysis for partially amorphous LSC

description: Measurements were conducted at varying oxygen partial pressures (pO₂) of 0.5%, 1%, 3%, 5%, 10%, and 20%, with a constant gas flow rate of 50 ml·min⁻¹. Prior to each measurement, the samples were stabilized in the target pO₂ atmosphere for a duration of 4 hours. Electrochemical impedance spectroscopy (EIS) was carried out across a temperature range of 400 °C to 300 °C, with measurements taken at 25 °C intervals. For a more comprehensive interpretation of the impedance spectra, the Distribution of Relaxation Times (DRT) method was employed. The analysis was performed using the DRTtool MATLAB graphical user interface, applying the C4 Matérn discretization scheme, with a second-order regularization derivative and a regularization parameter (λ) set to 10⁻⁴.
DOI: 10.34808/d3kq-zz76
title: Description of symmetrical prolate ellipsoid magnetic signature parameters-Be = 50 mT, I = 70 deg, z = 50 m, q = 80 deg, j = 135 deg, a =4 m, e = 1, mr = 100

description: The 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.
The symmetrical prolate ellipsoid (Fig.2): L – length of ellipsoid, a – radius of ellipsoid, e – unidimensional coefficient, q - vertical angle, j - horizontal angle.
For each scenarios there are following files:
Per_50%Mx_Bx_[BE]_[I]_[z]_[q]_[j]_[a]_[e]_[mr]             Bx – component of the ellipsoid magnetic flux density [nT]
Per_50%Mx_By_[BE]_[I]_[z]_[q]_[j]_[a]_[e]_[mr]            By –  component of the ellipsoid magnetic flux density [nT]
Per_50%Mx_Bz_[BE]_[I]_[z]_[q]_[j]_[a]_[e]_[mr]             Bz – component of the ellipsoid magnetic flux density [nT]
Per_50%Mx_x_[BE]_[I]_[z]_[q]_[j]_[a]_[e]_[mr]               x coordinate [m]
Per_50%Mx _y_[BE]_[I]_[z]_[q]_[j]_[a]_[e]_[mr]              y coordinate [m]
were:
BE [mT], I [deg], z [m], q [deg], j [deg], mr – relative magnetic permeability
Per_50%Mx – permanent magnetization of an ellipsoid in x direction is equal 50% induced magnetization for q = 90 deg and j = 0 deg
For the following parameters: Be = 50 mT, I = 70 deg, z = 50 m, q = 80 deg, j = 135 deg, a =4 m, e = 1, mr = 100
The names files are:
Per_50%Mx_Bx_50_70_50_80_135_4_1_100      Bx – component of the ellipsoid magnetic flux density [nT]
Per_50%Mx_By_50_70_50_80_135_4_1_100       By – component of the ellipsoid magnetic flux density [nT]
Per_50%Mx_Bz_50_70_50_80_135_4_1_100       Bz – component of the ellipsoid magnetic flux density [nT]
Per_50%Mx_x_50_70_50_80_135_4_1_100          x coordinate [m]
Per_50%Mx_y_50_70_50_80_135_4_1_100         y coordinate [m]
For the following parameters: Be = 50 mT, I = 70 deg, z = 10 m, q = 90 deg, j = -90 deg, a =4 m, e = 5, mr = 100
The names files are:
Per_50%Mx_Bx_50_70_10_90_m90_4_5_100  Bx – component of the ellipsoid magnetic flux density [nT]
Per_50%Mx_By_50_70_10_90_m90_4_5_100  By – component of the ellipsoid magnetic flux density [nT]
Per_50%Mx_Bz_50_70_10_90_m90_4_5_100  Bz – component of the ellipsoid magnetic flux density [nT]
Per_50%Mx_x_50_70_10_90_m90_4_5_100     x coordinate [m]
Per_50%Mx_y_50_70_10_90_m90_4_5_100     y coordinate [m]
DOI: 10.34808/zzy8-f453
title: Uniform expansion estimates in the quadratic map as a function of the parameter, using the “derivative” partition type

description: This 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.
Using an approach based on graph algorithms described in the paper, comprehensive computation was conducted to obtain a rigorous lower bound on the expansion exponent λ (Statement 1 in the paper), the constant C (Statement 1 in the paper), and the adjusted exponent λ0 (Statement 2 in the paper). The size of the partition into which the domain of the map was subdivided is denoted by K. The radius of the critical neighborhood is denoted by δ. The key parameter of the map is denoted by a. The parallelization framework introduced in the paper "Parallelization method for a continuous property" by P. Pilarczyk, as published in Foundations of Computational Mathematics, Vol. 10, No. 1 (2010), 93–114, doi: 10.1007/s10208-009-9050-8, was used in order to use several CPUs at a time. Note that the data records are not sorted.
In this specific computation, the quadratic map was analyzed with K=5000, δ=0.1, and a∈[1.7,2.0]. The partition type called “derivative” was used.
The data is provided in plain text format. Each line with comments begins with a semicolon, each line with a single data record begins with an asterisk. Each data record consists of the following items, separated with the space:
the asterisk that indicates the beginning of a data record
the identifier of the data record in the format level:number (e.g., 4:12)
the left endpoint of the parameter interval (minimal parameter value)
the right endpoint of the parameter interval (maximal parameter value)
the total number of intervals that cover both the critical neighborhood and the remainder of the domain of the map
the diameter δ of the critical neighborhood
the computed expansion exponent λ
the computed value of log C (0 if not computed)
the computed value of λ0 (0 if not computed)
the computation time (in seconds)
The actual software that was used to obtain the results and also some illustrations are available at http://www.pawelpilarczyk.com/unifexp/.
DOI: 10.34808/9gqp-5s91
title: TEM data of (Cr,Fe,Mn,Co,Ni)3O4 High-entropy spinel oxide thin films deposited on amorphous SiO2 substrate by spray pyrolysis techniqe

description: This Dataset include presentation of summarized TEM investigation of (Mn,Co,Fe,Ni,Cr)3O4 high-entropy spinel oxide prepared in the form of a ~ 500 nm thin film utilising a facile spray pyrolysis technique. The structural and electrical properties of the layers were characterised after exposure to temperatures in the range of 400–900 ◦C. The as-deposited layers were amorphous, and crystallised upon heat treatment at 500 ◦C. Microstructural analyses proved a homogeneous elemental distribution and the desired Fd-3 m cubic spinel structure. Electrical conductivity measurements indicated a dependence on the processing temperature, with the highest electrical conductivity values (~3 S cm􀀀 1 at 700 ◦C) obtained for layers heat-treated at 700 ◦C. The spray pyrolysis technique seems to be well suited to fabricating and exploring spinel-based high-entropy oxides synthesized as thin films, and to studying new compositions containing transition metal cations.
DOI: 10.34808/fa15-7x45
title: Uniform expansion estimates in the quadratic map as a function of the parameter, with a very small critical neighborhood

description: This 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.
Using an approach based on graph algorithms described in the paper, comprehensive computation was conducted to obtain a rigorous lower bound on the expansion exponent λ (Statement 1 in the paper), the constant C (Statement 1 in the paper), and the adjusted exponent λ0 (Statement 2 in the paper). The size of the partition into which the domain of the map was subdivided is denoted by K. The radius of the critical neighborhood is denoted by δ. The key parameter of the map is denoted by a. The parallelization framework introduced in the paper "Parallelization method for a continuous property" by P. Pilarczyk, as published in Foundations of Computational Mathematics, Vol. 10, No. 1 (2010), 93–114, doi: 10.1007/s10208-009-9050-8, was used in order to use several CPUs at a time. Note that the data records are not sorted.
In this specific computation, the quadratic map was analyzed with K=5000, δ=0.001, and a∈[1.7,2.0].
The data is provided in plain text format. Each line with comments begins with a semicolon, each line with a single data record begins with an asterisk. Each data record consists of the following items, separated with the space:
the asterisk that indicates the beginning of a data record
the identifier of the data record in the format level:number (e.g., 4:12)
the left endpoint of the parameter interval (minimal parameter value)
the right endpoint of the parameter interval (maximal parameter value)
the total number of intervals that cover both the critical neighborhood and the remainder of the domain of the map
the diameter δ of the critical neighborhood
the computed expansion exponent λ
the computed value of log C (0 if not computed)
the computed value of λ0 (0 if not computed)
the computation time (in seconds)
The actual software that was used to obtain the results and also some illustrations are available at http://www.pawelpilarczyk.com/unifexp/.
DOI: 10.34808/h9b5-ws66
title: Description of symmetrical prolate ellipsoid magnetic signature parameters-Be = 50 mT, I = 70 deg, z = 10 m, q = 80 deg, j = 45 deg, a =4 m, e = 8, mr = 100

description: The 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.
The symmetrical prolate ellipsoid (Fig.2): L – length of ellipsoid, a – radius of ellipsoid, e – unidimensional coefficient, q - vertical angle, j - horizontal angle.
For each scenarios there are following files:
Per_50%Mx_Bx_[BE]_[I]_[z]_[q]_[j]_[a]_[e]_[mr]             Bx – component of the ellipsoid magnetic flux density [nT]
Per_50%Mx_By_[BE]_[I]_[z]_[q]_[j]_[a]_[e]_[mr]            By –  component of the ellipsoid magnetic flux density [nT]
Per_50%Mx_Bz_[BE]_[I]_[z]_[q]_[j]_[a]_[e]_[mr]             Bz – component of the ellipsoid magnetic flux density [nT]
Per_50%Mx_x_[BE]_[I]_[z]_[q]_[j]_[a]_[e]_[mr]               x coordinate [m]
Per_50%Mx _y_[BE]_[I]_[z]_[q]_[j]_[a]_[e]_[mr]              y coordinate [m]
were:
BE [mT], I [deg], z [m], q [deg], j [deg], mr – relative magnetic permeability
Per_50%Mx – permanent magnetization of an ellipsoid in x direction is equal 50% induced magnetization for q = 90 deg and j = 0 deg
For the following parameters: Be = 50 mT, I = 70 deg, z = 10 m, q = 80 deg, j = 45 deg, a =4 m, e = 8, mr = 100
The names files are:
Per_50%Mx_Bx_50_70_10_90_45_4_5_100      Bx – component of the ellipsoid magnetic flux density [nT]
Per_50%Mx_By_50_70_10_90_45_4_5_100      By – component of the ellipsoid magnetic flux density [nT]
Per_50%Mx_Bz_50_70_10_90_45_4_5_100      Bz – component of the ellipsoid magnetic flux density [nT]
Per_50%Mx_x_50_70_10_90_45_4_5_100         x coordinate [m]
Per_50%Mx_y_50_70_10_90_45_4_5_100         y coordinate [m]
For the following parameters: Be = 50 mT, I = 70 deg, z = 10 m, q = 90 deg, j = -90 deg, a =4 m, e = 5, mr = 100
The names files are:
Per_50%Mx_Bx_50_70_10_90_m90_4_5_100  Bx – component of the ellipsoid magnetic flux density [nT]
Per_50%Mx_By_50_70_10_90_m90_4_5_100  By – component of the ellipsoid magnetic flux density [nT]
Per_50%Mx_Bz_50_70_10_90_m90_4_5_100  Bz – component of the ellipsoid magnetic flux density [nT]
Per_50%Mx_x_50_70_10_90_m90_4_5_100     x coordinate [m]
Per_50%Mx_y_50_70_10_90_m90_4_5_100     y coordinate [m]
DOI: 10.34808/mpdp-cs98
title: District development concept – Gdańsk-Lower City (Dolne Miasto) district case study, study proposal no 3, May 2021

description: The data presents results of work within the studies of the concept of development of the district in the context of the city, Gdańsk-Lower  City (Dolne Miasto) district, study proposal no 3, from May 2021. The goal of the research process was to present the development concept of the area located in Gdańsk-Lower City (Dolne Miasto) district in the context of the city of Gdańsk development. The aim of the study was to present the main concept for the development of the chosen area and taking in consideration development of the entire city. The dataset presents the development concept of the district in the form of the main concept plan for the development of the district, design project axonometry, sections, functional diagrams, idea explanation and model. The dataset presents the study and design work of students of the Faculty of Architecture, Gdańsk University of Technology (FA Gdańsk Tech) - 6th semester of the Bachelor Studies (undergraduate studies) at the FA Gdańsk Tech coordinated by  Łukasz Bugalski PhD. The preparatory process, studies and design was conducted from April 2021 till May 2021. The study and design results in the dataset are the effect of the course of urban planning IV at the Faculty of Architecture, Gdańsk University of Technology 2020/2021 academic year. The study and design results in dataset form the basis for the further research and development studies of the district.
DOI: 10.34808/48jp-px37
title: Description of symmetrical prolate ellipsoid magnetic signature parameters-Be = 50 mT, I = 70 deg, z = 50 m, q = 100 deg, j = 45 deg, a =4 m, e = 8, mr = 100

description: The 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.
The symmetrical prolate ellipsoid (Fig.2): L – length of ellipsoid, a – radius of ellipsoid, e – unidimensional coefficient, q - vertical angle, j - horizontal angle.
For each scenarios there are following files:
Per_50%Mx_Bx_[BE]_[I]_[z]_[q]_[j]_[a]_[e]_[mr]             Bx – component of the ellipsoid magnetic flux density [nT]
Per_50%Mx_By_[BE]_[I]_[z]_[q]_[j]_[a]_[e]_[mr]            By –  component of the ellipsoid magnetic flux density [nT]
Per_50%Mx_Bz_[BE]_[I]_[z]_[q]_[j]_[a]_[e]_[mr]             Bz – component of the ellipsoid magnetic flux density [nT]
Per_50%Mx_x_[BE]_[I]_[z]_[q]_[j]_[a]_[e]_[mr]               x coordinate [m]
Per_50%Mx _y_[BE]_[I]_[z]_[q]_[j]_[a]_[e]_[mr]              y coordinate [m]
were:
BE [mT], I [deg], z [m], q [deg], j [deg], mr – relative magnetic permeability
Per_50%Mx – permanent magnetization of an ellipsoid in x direction is equal 50% induced magnetization for q = 90 deg and j = 0 deg
For the following parameters: Be = 50 mT, I = 70 deg, z = 50 m, q = 100 deg, j = 45 deg, a =4 m, e = 8, mr = 100
The names files are:
Per_50%Mx_Bx_50_70_50_100_45_4_8_100      Bx – component of the ellipsoid magnetic flux density [nT]
Per_50%Mx_By_50_70_50_100_45_4_8_100       By – component of the ellipsoid magnetic flux density [nT]
Per_50%Mx_Bz_50_70_50_100_45_4_8_100       Bz – component of the ellipsoid magnetic flux density [nT]
Per_50%Mx_x_50_70_50_100_45_4_8_100          x coordinate [m]
Per_50%Mx_y_50_70_50_100_45_4_8_100         y coordinate [m]
For the following parameters: Be = 50 mT, I = 70 deg, z = 10 m, q = 90 deg, j = -90 deg, a =4 m, e = 5, mr = 100
The names files are:
Per_50%Mx_Bx_50_70_10_90_m90_4_5_100  Bx – component of the ellipsoid magnetic flux density [nT]
Per_50%Mx_By_50_70_10_90_m90_4_5_100  By – component of the ellipsoid magnetic flux density [nT]
Per_50%Mx_Bz_50_70_10_90_m90_4_5_100  Bz – component of the ellipsoid magnetic flux density [nT]
Per_50%Mx_x_50_70_10_90_m90_4_5_100     x coordinate [m]
Per_50%Mx_y_50_70_10_90_m90_4_5_100     y coordinate [m]
DOI: 10.34808/4tx1-0476
title: Long-term hindcast simulation of currents in the Baltic Sea

description: The dataset contains the results of numerical modelling of currents over a period of 50 years (1958-2007) in the Baltic Sea (Jędrasik and Kowalewski, 2019). A long-term hindcast simulation was performed using a three-dimensional hydrodynamic model PM3D (Kowalewski and Kowalewska-Kalkowska, 2017), a new version of the M3D model (Kowalewski, 1997).
The model is based on the Princeton Ocean Model (POM) developed at Princeton University (Blumberg and Mellor, 1987). Like POM, the M3D/PM3D model uses the Mellor-Yamada turbulence scheme and sigma vertical coordinates. The simulation was carried out in a rectangular grid of 3' (latitude) and 6' (longitude) resolution. The spatial resolution was 3 nautical miles, i.e. about 5.5 km. An open boundary was located between the Skagerrak and the Kattegat along the parallel connecting Skagen and Göteborg, where the water exchange with the North Sea takes place. A radiation condition based on Somerfield’s concept for velocities  vertically averaged and normal to the boarder  plane was applied. Atmospheric forcing for the period 1958-2007 was performed using the regional at amospheric climate model REMO (REgional MOdel) which was based on the numerical weather prediction model EM (Europa-Model) of the German Weather Forecast Service (DWD).
The eastward and northward components of surface currents and at a depth of 5 m, 10 m, 15 m, 20 m, 30 m,  40 m, 50 m and 60 m m were recorded every three hours in the computational grid of the model in unproiected form: LatLong, WGS 84 (EPSG: 4326). Analysis of the Baltic Sea current data spanning five decades showed  a higher stability of subsurface current eddies relative to the stability of ephemeral surface currents (Jędrasik and Kowalewski, 2019).
 
Kowalewski M.;1997; A three-dimensional, hydrodynamic model of the Gulf of Gdańsk; Oceanol. Stud., 26 (4); 77–98
Kowalewski M., Kowalewska-Kalkowska H., 2017, Sensitivity of the Baltic Sea level prediction to spatial model resolution, Journal of Marine Systems 173, 101–113, http://dx.doi.org/10.1016/j.jmarsys.2017.05.001
Jędrasik J., Kowalewski M., 2019, Mean annual and seasonal circulation patterns and long-term variability of currents in the Baltic Sea, J. Mar. Syst., 193, 1-26, doi:10.1016/j.jmarsys.2018.12.011