cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.34808/snts-1232
title: Structure of the register of immovable monuments in terms of the number of architectural monuments by type - comparison of 2003 and 2024

description: The following dataset compares the structure of the register of immovable monuments in Poland regarding the number of architectural monuments by type for 2003 and 2024. The included types contain the following ones: sacred, defensive, public, castles, palaces, manors, parks, residential, farmhouses, industrial, cemeteries and others. The dataset has been compiled based on the data in the Report analysing the state of immovable monuments (the report was prepared in 2004 based on data collected by provincial conservators of historical monuments in 2003), the table with figures for the Report and the Register of Monuments - Immovable Monuments (as of 29.03.2024).
DOI: 10.34808/d5m9-e110
title: SEM images of the LSC oxygen electrode surface as a function of annealing temperature

description: SEM analysis of the surface of the electrode, with various annealing temperatures, was performed using a field emission scanning electron microscope (FEI Quanta FEG250) equipped with a secondary ET detector. The accelerating voltage was maintained at 10 keV.
DOI: 10.34808/sfay-mk83
title: 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

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 = 45 deg, a =4 m, e = 8, mr = 100
The names files are:
Per_50%Mx_Bx_50_70_50_80_45_4_8_100      Bx – component of the ellipsoid magnetic flux density [nT]
Per_50%Mx_By_50_70_50_80_45_4_8_100       By – component of the ellipsoid magnetic flux density [nT]
Per_50%Mx_Bz_50_70_50_80_45_4_8_100       Bz – component of the ellipsoid magnetic flux density [nT]
Per_50%Mx_x_50_70_50_80_45_4_8_100          x coordinate [m]
Per_50%Mx_y_50_70_50_80_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/x49e-gq14
title: Uniform expansion estimates in the quadratic map with the smallest critical neighborhood for which the expansion exponent λ is positive

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, a∈[1.7,2.0], and δ chosen to be as small as possible, assuming that still λ&gt;0 can be obtained. This dataset was a basis for Figures 7 and 9 in the paper.
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: 10.34808/2aw9-en32
title: The initial FEM model of the dome assembled in SOFiSTiK FEA (2020) software

description: This dataset consists of an archive with the (selected) files of the initial FEM model of the dome assembled in SOFiSTiK FEA (2020) software.
The studies carried out in the "Miniatura 7" scientific grant were devoted to both experimental and theoretical (numerical) measurements executed on a tensegrity dome model (with a Fuller-type grid) to identify the changes in the state of displacements, induced by the occurrence of geometric imperfections in dome's node positions (resulting from changes in the length and position of compressed elements, prestress in tensile elements, and applied loads), along with their statistical and probabilistic analysis.
DOI: 10.34808/96dd-t509
title: Description of symmetrical prolate ellipsoid magnetic signature parameters-Be = 50 mT, I = 70 deg, z = 20 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 = 20 m, q = 80 deg, j = 45 deg, a =4 m, e = 8, mr = 100
The names files are:
Per_50%Mx_Bx_50_70_20_80_45_4_8_100      Bx – component of the ellipsoid magnetic flux density [nT]
Per_50%Mx_By_50_70_20_80_45_4_8_100      By – component of the ellipsoid magnetic flux density [nT]
Per_50%Mx_Bz_50_70_20_80_45_4_8_100      Bz – component of the ellipsoid magnetic flux density [nT]
Per_50%Mx_x_50_70_20_80_45_4_8_100         x coordinate [m]
Per_50%Mx_y_50_70_20_80_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/bt42-hj36
title: Refractive index measurement  in the range of 1.3 – 1.5  for 1550 nm wavelength (2nd serie)

description: The low-coherence refractive index measurements of certified liquid samples provided by Cargille Labs were performed. The measurement system consisted of a broadband light source (central wavelength of 1550 nm), an optical spectrum analyzer, a 2x1 fiber-optic coupler (50:50 power split), and single-mode telecommunication optical fibers. A micromechanical setup served for positioning and stabilizing the measurement head. The measurement head was constructed as a Fabry-Perot cavity formed between the polished fiber end-face and a surface of a silver mirror. The sensor was operating in a reflecting mode. The cavity length was set to 280 µm; the measurements of refractive index were performed in the range of 1.3 – 1.5 with an increment equal to 0.01. Two series of 10 spectra measurements for each liquid were carried out. A reference signal with a cavity filled with air was recorded to confirm its intact setting after cleaning and changing the liquid inside the cavity.
 
The Folder name indicates the nominal refractive index of the measured liquid sample.The Files named W0000-W0010 in each folder are subsequently recorded spectra for the given sample.REF files are reference measurements taken for air filling the cavity of the same length.
The liquids are in the refractive index range of 1.3-1.5 with an increment of 0.01.The cavity length was set to 280 um.  The measurement set-up.
DOI: 10.34808/r4s4-rr48
title: The Use of Sustainability Reporting Instruments in the Global Airline Industry in Financial Year 2019

description: This dataset provides an overview of the GRI topic-specific disclosures global passenger airline companies reported in their 2019 financial year sustainability reports and the specific SDGs they addressed. Additionally, it includes information on the frequency of application of other well-known SR instruments (i.e., SASB, IIRC, CDSB, CDP, UNGC, ISO 26000, and DJSI) used by the industry and data on firm size (measured by total assets and revenue) and the airline's carbon efficiency as derived from the Atmosfair Airline Index (2018).
The studies were financially supported from the project PRELUDIUM financed by the National Science Centre (No. UMO-2019/35/N/HS4/04367).
DOI: 10.34808/2g5h-xx93
title: Vision of the development of transformations in the district – Gdańsk-Lower City (Dolne Miasto) district case study, study proposal no 3, April 2021

description: The data presents results of work within the studies of the vision of the district in the context of the city, Gdańsk-Lower City (Dolne Miasto) district, study proposal no 3, from April 2021. The goal of the research process was to present the future image of the neighborhood and initial ideas of the development of transformations of the area located in Gdańsk-Lower City (Dolne Miasto) district in the context of the city of Gdańsk. The aim of the study was to propose the vision of transformations using the potential for redevelopment of the chosen area and taking in consideration development of the entire city. The dataset presents vision of the development of transformations in the district in the form of mind maps, idea sketches, plans, drawings and visualizations. 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 March 2021 till April 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 design proposal developed during the course as well as further research and development studies of the district.
DOI: 10.34808/2zer-a213
title: Neural oscillations induced by IAPS pictures (session 26)

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) session26_EEGLogger.csv,(2) session26_emotion_picture_timestamp.csv,(3) session26_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/g7jm-8912
title: Long-term hindcast simulation of water temperature and salinity in the Baltic Sea

description: The dataset contains the results of numerical modelling of water temperature and salinity 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 atmospheric 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 spatial distribution of water temperature and salinity was recorded twice a day, at a depth of 0 m, 5 m, 10 m, 15 m, 20 m, 30 m,  40 m, 50 m and 60 m in the model's computational grid in unproiected form (LatLong, WGS 84, EPSG: 4326). The validation of the modeling results for the period 1958-2007 showed a root mean square error (RMSE)  of the water temperature from 0.9 to 1.4 °C, and in the case of salinity RMSE was from 0.16 to 0.5 psu for various stations in the Baltic Sea (Jędrasik i 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
DOI: 10.34808/f9tp-x029
title: Functional and spatial structure analysis – Gdańsk-Lower City (Dolne Miasto) district case study, study proposal no 2, February 2021

description: The data presents results of work within the studies of the conditions of the district in the context of the city, Gdańsk-Lower City (Dolne Miasto) district, study proposal no 2, from February 2021. The goal of the research process was to present the functional and spatial structure analysis of the area located in Gdańsk-Lower City (Dolne Miasto) district in the context of the city of Gdańsk. The aim of the study was to understand the current condition and the potential for redevelopment of the chosen area taking in consideration development of the entire city. The dataset presents functional and spatial structure analysis in the form of sensation path, survey among residents, mental maps, land use analysis, series of diagrams and schemes. The dataset presents the study 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 and studies were conducted during February 2021. The study 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 results in dataset form the basis for the design proposal developed during the course as well as further research and development studies of the district.
DOI: 10.34808/fzhs-vj60
title: Description of symmetrical prolate ellipsoid magnetic signature parameters-Be = 50 mT, I = 70 deg, z = 200 m, q = 180 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 = Be = 50 mT, I = 70 deg, z = 200 m, q = 180 deg, j = 135 deg, a =4 m, e = 4, mr = 100
The names files are:
Per_50%Mx_Bx_50_70_200_180_135_4_4_100      Bx – component of the ellipsoid magnetic flux density [nT]
Per_50%Mx_By_50_70_200_180_135_4_4_100       By – component of the ellipsoid magnetic flux density [nT]
Per_50%Mx_Bz_50_70_200_180_135_4_4_100       Bz – component of the ellipsoid magnetic flux density [nT]
Per_50%Mx_x_50_70_200_180_135_4_4_100         x coordinate [m]
Per_50%Mx_y_50_70_200_180_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/qjxa-df20
title: Video of LEGO bricks on conveyor belt - Technic Brics

description: 



The set contains videos of LEGO bricks (Technic bricks) moving on a white conveyor belt. The videos were prepared for training neural network for recognition of LEGO bricks. The bricks were separated as much as possible and in most cases they should not overlap. The images were taken from different sides by stationary camera located over the final conveyor belt.
 
The videos were recorded using Huawei p20 Pro camera (1920x1080 resolution, H.264 high profile codec, 15 frames per second) located 14.5 cm over the belt. The bricks have random colors. The videos were placed in a seperate file for different pin type.
 
Sample images are presented below.



  The machine used to gather videos. The camera was positioned on the LEGO Duplo structure in the far side.