cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.34808/amn3-1r84
title: WRF-METEOPG: numerical weather forecast data for Poland - Days 197-203, Year 2021

description: WRF-METEOPG is a numerical weather forecast system developed at the Faculty of Civil and Environmental Engineering, Gdansk University of Technology, Poland. The system was built on the basis of the Weather Research and Forecast model version 4.2 and implemented at Centre of Informatics Tricity Academic Supercomputer & Network. Physics parametrization and model dynamics have been adjusted to the weather conditions prevailing in Poland. Also, a whole geographical database (topography, land cover, etc.) has been redefined using, e.g. CORINE and SRTM data. As initial and boundary conditions GFS model with 0.25° spatial resolution is used or, when GFS is unavaialble, ICON-EU with 6.5 km resolution.
This dataset contains weather forecast data for the days 197-203 of the year 2021 (July 16 - July 22, 2021). For each day, the simulations were started at 00 and 12 UTC with the forecast range equal 60-hours. Data are stored in grib2 file format with 1-hour temporal and about 2.5 km spatial resolutions for whole area of Poland. Dataset contains basic meteorological parameters such as 2-meter temperature, surface and sea level pressure, precipitation, cloud cover, wind speed and gusts. Detailed information about available parameters and dataset structure can be found in the readme file attached to the dataset.
Calculations were carried out at the Academic Computer Centre in Gdansk under the project "Parameterization and development of a high-resolution mesoscale WRF numerical weather model with assimilation of meteorological and GNSS data".
DOI: 10.34808/s51g-zz80
title: Uniform expansion estimates in the quadratic map as a function of the partition size, using the Floyd–Warshall algorithm

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 δ=0.01, a=2.0, and K∈[100,7900]. The Floyd–Warshall algorithm was used. This dataset was a basis for Figure 4 in the paper, and was also used in Figures 5 and 6.
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: 10.34808/08v6-dw78
title: SEM/EDX 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 Data set include SEM and EDX results 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: 10.34808/3hta-cq22
title: Structure of the register of immovable monuments in terms of the type of architectural monuments by voivodeship - comparison of 2003 and 2024

description: The following dataset compares the structure of the register of immovable monuments in Poland regarding the type of architectural monuments by voivodeship for 2003 and 2024. 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/yhyn-et66
title: Description of symmetrical prolate ellipsoid magnetic signature parameters-Be = 50 mT, I = 70 deg, z = 10 m, q = 100 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 = 10 m, q = 100 deg, j = 135 deg, a =4 m, e = 4, mr = 100
The names files are:
Per_50%Mx_Bx_50_70_10_100_135_4_4_100      Bx – component of the ellipsoid magnetic flux density [nT]
Per_50%Mx_By_50_70_10_100_135_4_4_100       By – component of the ellipsoid magnetic flux density [nT]
Per_50%Mx_Bz_50_70_10_100_135_4_4_100       Bz – component of the ellipsoid magnetic flux density [nT]
Per_50%Mx_x_50_70_10_100_135_4_4_100          x coordinate [m]
Per_50%Mx_y_50_70_10_100_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/bz4g-4s69
title: Functional and spatial structure analysis – Gdańsk-Lower City (Dolne Miasto) district case study, study proposal no 3, 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 3, 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/dcky-s031
title: Electric field maps of an astable multivibrator in frequency range from 30 MHz to 3 GHz

description: The data presents a result of near field measurements of electromagnetic emissions radiated from the PCB of a small electronic device.  An efficient method of modelling the magnetic and electric field emissions is the measurements in the near field using electric and magnetic probes. The attached files contain electric field maps created on based measurements using E-Field Probe RF E 03 in the frequency range 30 MHz – 3 GHz.  The designated maps enable the location of the sources of high electric field radiated by the tested device. The device under test (DUT) was a typical astable multivibrator supplied from a battery of 9 V (Fig. 1).
Twenty-five measurement points are marked on the PCB, located exactly above the elements of the DUT (Fig. 2). The near fields were measured directly on the surface of PCB. The probe was placed at the same distance from the PCB surface, regardless of the height of the elements. The probe RF E 03 is a passive near-field probe. The electrode underneath the RF E 03 probe head is approx. 4 x 4 mm. With it, small E field sources can be localized, e.g. conducting paths, a single component of PCB. The probe head is positioned directly on the measured object (high electrical field strength). The average value of the voltage at the probe output was measured at all points with an oscilloscope. Each measurement was performed for the averaged instantaneous values (the number of averages above 300) for both the background, i.e. the device turned off and the device turned on. All results of measurements made with near field probes are presented in mV. This is due to the measurement of the voltage at the output of the probe for both electric and magnetic fields. In Figure 3, the near-field measurement system developed to measure the radiated emission is shown.
The attached files contain electric field maps and the table with the measurement results.  Figure 1. The electronic diagram of the AVT 720 device Figure 2. Arrangement of measurement points on the DUT  Figure 3. The near-field measurement system
DOI: 10.34808/s14m-az33
title: XLS file with the initial data on the dome's geometry outline

description: This dataset consists of an XLS file with the initial data on the dome's geometry outline.
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: 10.34808/9vmj-8457
title: Uniform expansion estimates in the quadratic map as a function of the parameter, with a large range of parameters

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=4000, δ=0.02, and a∈[1.5,2.0].
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/b23f-9197
title: Why does the Agile leader mindset matter the most?

description: The literature widely states that agility is not as much an issue of the technological-methodological management approach as it is an issue of an employee’s mindset. Given that leaders play a pivotal role in any organization, this study underscores the crucial role of the agile mindset of leaders. It aims to uncover how agile mindset leaders influence the agility of their organizations as well as the interrelations between their agile and non-agile mindset followers. This study employs a mixed methods approach to delve into these complex relationships. The qualitative stage is based on thematic analysis through abductive reasoning. The qualitative stage delivers new, prereferral insights regarding agile leader mindset and agile organizations, and it is based on 85 interviews (41 from Poland and 44 from Finland). This script delivers transcripts of the qualitative stage of the project.
DOI: 10.34808/cgpp-c816
title: Thermographic imaging of electrochemical double layer capacitors during cycling charging - discharging 0 - 3,3 V at 420 mA. Sample 103, run #1.

description: Dataset contains thermal images of prototype electrochemical double layer capacitor taken during cyclic charging - discharging. The sample was charged to 3,3 V and discharged to 10 mV by constant current 420 mA.  Sample 103, experiment run #1. Voltage was increased to accelerate the ageing process.The images were taken with thermographic camera VigoCAM V50. The sample was covered by black graphite paint to ensure uniform surface emission. For sample charging and discharging the ATLAS 1361 MPG&T was used.The sample is in a form of triplex envelope (6 cm x 7 cm) with active structure (2,5 cm x 4 cm) inside and electrodes contacts at one of envelope edge.The ASCII text data file consists of images acquired within a fixed period of measurement, T = 60 sec. The recorded image is a matrix containing 388 x 288 temperature data. Each image is preceded with header with image number, date and time of acquisition.
At the begining of the datafile, the sequence of images taken with frequency 2 Hz is stored.
DOI: 10.34808/v3rb-6g66
title: Thermographic imaging of electrochemical double layer capacitors during cycling charging - discharging 0 - 3,3 V at 420 mA. Sample 103. Image period: 2 sec.

description: Dataset contains thermal images of prototype electrochemical double layer capacitor taken during cyclic charging - discharging. The sample was charged to 3,3 V and discharged to 10 mV by constant current 420 mA.  Sample 103. Pictures were taken relatively fast, with period of 2 sec in order to examine the fast fluctuations of sample temperature during charging - discharging.The images were taken with thermographic camera VigoCAM V50. The sample was covered by black graphite paint to ensure uniform surface emission. For sample charging and discharging the ATLAS 1361 MPG&T was used.The sample is in a form of triplex envelope (6 cm x 7 cm) with active structure (2,5 cm x 4 cm) inside and electrodes contacts at one of envelope edge.The ASCII text data file consists of images acquired within a fixed period of measurement, T = 2 sec. The recorded image is a matrix containing 388 x 288 temperature data. Each image is preceded with header with image number, date and time of acquisition.
DOI: 10.34808/5gwb-5y67
title: Video of LEGO bricks on conveyor belt - minifigures, animals, plants and accessories

description: 

The set contains videos of LEGO bricks (minifigures, animals, plants and accessories) moving on a white conveyor belt. The images 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 separate files one for each type of recorded elements.
 
Sample images are presented below.

   The machine used to gather videos. The camera was positioned on the LEGO Duplo structure in the far side.
DOI: 10.34808/ctjj-fw17
title: The American Sign Language alphabet

description: The American Sign Language dataset contains all static letters of the American alphabet, meaning those that do not require movement to perform (the entire alphabet except for the letters 'J' and 'Z', which are dynamic and require hand movement).
Dataset Structure
The dataset is organized into 24 folders, each named after a corresponding American Sign Language alphabet letter. For example, the folder named "A" contains recordings of gestures representing the letter "A" in sign language.
Folder Contents
Each folder contains numerous video recordings of gestures corresponding to the respective letter. These recordings vary in length and quality, ensuring a diverse data set for analysis. The recordings show either a person performing the letter gesture or just the hand (some recordings feature only the hand making the gesture).
Dataset Applications
The dataset is ideal for a variety of applications, such as:

Training gesture recognition models: The diversity of recordings allows for the creation of robust models capable of accurately recognizing letters of the American Sign Languagealphabet.
Research on sign language: It can serve as a database for studies on gesture recognition and interpretation.

Technical Specifications

Recording format: All recordings are in video format.
Recording length: Varies, providing a wide range of data for analysis.
Recording quality: Diverse, allowing for testing models in different conditions.
Content: Gestures are shown to the camera at varying distances, angles, and positions relative to the center of the screen.
DOI: 10.34808/d73v-eg72
title: Uniform expansion estimates in the quadratic map as a function of the parameter, using the “critical” 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 “critical” 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/.