cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.34808/kk54-gg42
title: Microscope images of Carex pendula - cross-sections of roots and leaves

description: This dataset comprises light microscope images of cross-sections of Carex pendula roots cultivated in biochar-sand filters used for wastewater treatment. The experiment was conducted between July and October 2025. Four lisymeters (L1-L4) with diverse biochar/sand proportion were used: L1 - 100% sand, L2 - 1% vol./vol. of biochar addition into sand, L3 - 5% vol./vol. of biochar addition into sand, and L4 - 10% vol./vol. of biochar addition into sand. Biochar made from chicken manure (pyrolyzed at 450 °C) was pre-rinsed with water and applied in the lysimeters.
Delta Optical Generic Pro microscope with camera 3MP (Delta Optical, Poland) integrated with DLTCamViewer software was used for observation.
DOI: 10.34808/pc37-ry43
title: X-ray diffraction patterns of SrFe1-xCoxO3-δ (x = 0, 0.2, 0.4, 0.6, 0.8)

description: The dataset consists of three raw X-ray diffraction (XRD) files collected using a Phillips X’Pert Pro diffractometer (CuKα radiation (𝜆 = 1.541 Å), under 40 kV and 30 mA). The diffraction patterns of SrFe1-xCoxO3-δ (x = 0, 0.2, 0.4, 0.6, 0.8) were collected at room temperature. Collected XRD data enabled the evaluation of the phase composition of samples and the crystal structure of synthesized materials. The XRD patterns were later analyzed using HighScore Plus XRD Analysis Software.
The samples were synthesized using the solid-state reaction method. Stoichiometric amounts of SrCO3, Fe2O3, and Co3O4 were ball-milled and calcined at 950 ℃ for 24 h. The resulting powder was then milled again, uniaxially pressed (100 MPa), and sintered for 24 h at 1200 ℃ for all samples aside from the SrFe0.2Co0.83-δ, which was sintered at 1050 ℃. NiO was used for the densification in the second step of the synthesis for all samples.
DOI: 10.34808/0pv5-v280
title: Ex-situ XRD (X-ray Diffraction) results for electrodes under different charge/discharge states

description: Ex-situ XRD was employed to analyze the energy storage mechanism of CPMD in ZICs system. The ZICs were firstly charged to 1.8 V from the open circuit voltage (at around 1.3 V), then discharge to 1.0 V and 0.2 V, and finally recharged to 1.0 V and 1.8 V. Sample abbreviations (CPMD) are in agreement with the markings used in the linked publication.
DOI: 10.34808/78w1-7z96
title: Wetland macrophytes purification and decomposition rates

description: This dataset contains experimental findings on the purification and decay effect of macrophytes used in floating treatment wetlands. Phragmites australis, Iris pseudacorus, Typha latifolia, Juncus inflexus, Nympha, and Limnobium were used for this project. In the first step (purification phase), the removal efficiency of chosen plants was evaluated (N, P, COD, nitrogen compounds). During the decay phase, the decomposition rate of shoots and stems was determined. Nutrients and TOC analyses were employed to verify the potential water recontamination due to organic matter decomposition. 
This dataset is the outcome of research carried out within the framework of the task „Granty dla młodych naukowców” [Grants for Young Scientists] entitled: „Ocena dekompozycji biomasy oraz uwalniania substancji biogennych ze ściółki makrofitów wykorzystywanych w systemach inżynierskich pływających wysp hydrofitowych” [Assessment of biomass decomposition rate and release of nutrients from macrophyte litters in floating treatment wetlands].
DOI: 10.34808/g9wp-1e73
title: CV (cyclic voltammetry) curves of the CPMD sample at different scan rates

description:  These data contain CV curves of CPMD obtained at a scan rate from 1 mV s−1 to 20 mV s−1. Sample abbreviations (CPMD) are in agreement with the markings used in the linked publication.
DOI: 10.34808/mc69-7j82
title: Unbounded quantum advantage in communication complexity measured by distinguishability

description:  Communication complexity is a fundamental aspect of information science, concerned with the amount of communication required to solve a problem distributed among multiple parties. The standard quantification of one-way communication complexity relies on the minimal dimension of the communicated systems. In this paper, we measure the communication complexity of a task by the minimal distinguishability required to accomplish it, while leaving the dimension of the communicated systems unconstrained. Distinguishability is defined as the maximum probability of correctly guessing the sender’s input from the message, quantifying the message’s distinctiveness relative to the sender’s input. This measure becomes especially relevant when maintaining the confidentiality of the sender’s input is essential. After establishing the generic framework, we focus on three relevant families of communication complexity tasks—the random access codes, equality problems defined bygraphs, and the pair-distinguishability tasks. We derive general lower bounds on the minimal classical distinguishability as a function of the success metric of these tasks. We demonstrate that quantum communication outperforms classical communication presenting explicit protocols and utilizing semidefinite programming methods. In particular, we demonstrate unbounded quantum advantage for random access codes and Hadamard graph-based equality problems. Specifically, we show that the classical-to-quantum ratio of minimal distinguishability required to achieve the same success metric escalates polynomially and exponentially with the complexity of these tasks, reaching arbitrarily large values.
This research is supported by NCN grant SONATINA (no. UMO-2022/44/C/ST2/00081).
DOI: 10.34808/p3pv-xv42
title: Mode shapes of a beam and plate with defects, obtained by experimental modal analysis

description: The DataSet contains the experimental results of the first mode shape for a beam and a plate.
The beam of length L = 480 mm, width B = 60 mm and height H = 20 mm was made of polymethylmethacrylate (PMMA). The beam contained an open crack of length Lr = 2 mm and height a = 7 mm at a distance L1 = 120 mm from the clamped end. The depth of the crack was 35% of the height of the beam.
The steel plate of length L = 560 mm, width B = 480 mm and height H = 2 mm was fixed on all four edges. The plate contained a rectangular defect of length Lr = 80 mm, width Br = 80 mm and height of a = 0.5 mm. The distance from the defect left-bottom corner to the plate left-bottom corner in horizontal and vertical directions was L1 = 200 mm and B1 = 200 mm, respectively. The area of the flaw was 2.4 % of the plate area and the depth of the flaw was 25 % of the plate height. The beam was subjected to dynamic impulse loading at 48 points along the length of the beam, perpendicular to the beam axis, while the plate was subjected to impulse loading at 143 points on its surface. Measurements were made using an accelerometer to record the response of the structure. The dynamic impulse loading was induced by the modal hammer PCB 086C03. The data was collected using the Pulse 3650C data acquisition system. More detailed information on this study can be found in the paper:
Rucka M., Wilde K.: Application of continuous wavelet transform in vibration based damage detection method for beam and plates. Journal of Sound and Vibration 297: 536-550, 2006, doi:10.1016/j.jsv.2006.04.015
DOI: 10.34808/vhk0-ww51
title: SkinDepth -  synthetic 3D skin lesion database

description: SkinDepth is the first synthetic 3D skin lesion database. The release of SkinDepth dataset intends to contribute to the development of algorithms for:
(1) skin lesion thickness prediction,
(2) skin lesion segmentation,
(3) skin lesion classification,
(4) singleimage/video depth estimation.
The advancement of medical imaging has ushered in a significant transformation across various medical disciplines, with dermatology being no exception. This progress has not only elevated the level of patient care but also played a pivotal role in enhancing the capabilities of healthcare practitioners. Central to this evolution have been databases and atlases containing meticulously classified and described skin abnormalities. These resources have not only bolstered the expertise of medical professionals but have also contributed to the automation of diagnostic processes. Furthermore, they have raised awareness among patients, directing attention to the presence of potentially life-threatening skin conditions, such as skin cancer.
Nevertheless, a critical gap has persisted in the field. A comprehensive database that combines high-quality images with corresponding depth maps has been conspicuously absent. This absence has acted as a bottleneck, impeding the progress of methods reliant on 3D reconstruction, including augmented reality visualization and automated medical procedures.
Addressing this gap was one of the principal objectives of this research work. The SkinDepth database, consisting of 2727 pairs of images and corresponding depth maps, was meticulously crafted to fill this void. These pairs were generated using 27 diverse models representing various types of skin lesions. These models were created within the Blender software to ensure precision and quality, encompassing a wide range of sizes, shapes, and levels of convexity. Notably, out of the 27 models, 8 were either flat or nearly flat lesions.
For each of these created models, a total of 101 image-depth map pairs were generated, with the Blender software instrumental in the creation process. It's worth noting that the development of SkinDepth was heavily influenced by images obtained from the SKINL2 dataset, which served as valuable references in this work.
The inclusion of depth information in the dataset holds the promise of improving melanoma classification and other skin condition diagnoses. To provide a visual representation of the data, an example of the generated data can be observed in the Figure below. This comprehensive dataset not only fills a critical void in the field but also lays the foundation for further advancements in methods reliant on 3D reconstruction, such as augmented reality visualization and automated medical procedures.
If you use the SkinDepth dataset in your research, please cite the following paper:
Anna Jezierska, Mateusz Woźniak "Skin3D: enhancing 3D melanoma classification using synthetic lesions and transfer learning" .
DOI: 10.34808/xntw-sj31
title: XRD (X-ray Diffraction) patterns of PMH, PMD and simulated MIL-53(Al)

description: These data contain XRD (X-ray Diffraction) patterns of PMH, PMD and simulated MIL-53(Al). The results were recorded by a Philipsdiffractometer using Cu Ka radiation. Sample abbreviations (PMH, PMD, MIL-53(Al)) are in agreement with the markings used in the linked publication.
DOI: 10.34808/a33s-pj64
title: Bending test results of first metatarsophalangeal joint after arthrodesis with medially or dorsally positioned locking plate and lag screw.

description: The Dataset contains the results of the bending test of first metatarsophalangeal (MTP1) joint specimens after arthrodesis.
Three groups of samples were created depending on the MTP1 arthrodesis method:
-   group with medially positioned locking plate, samples P01-P02, P04-P07, P22;-   group with dorsally positioned locking plate and lag screw, samples P08-P14;-   group with medially positioned locking plate and lag screw, samples P15-P21.The same short titanium locking plate (Medgal) and six 2.4 mm locking screws were used in all groups. The artificial models of metatarsal bone and proximal phalanx were created based on freely accessible STL geometry of the human foot (https://www.thingiverse.com/thing:22628). The geometry was scaled and cut to prepare bones for arthrodesis and fixation in dedicated steel jigs. The artificial bone models were additively manufactured with the fused filament fabrication (FFF) method using polylactide (PLA) material in Ultimaker 3 Extended 3D printer.  The bending test of total 21 samples was performed in a Zwick/Roell Z10 universal testing machine (UTM).  The shaft of the metatarsal bone was clamped in stainless steel jig, while the“distal” end of the proximal phalanx was fixed in stainless steel clamp, which was connected to a traverse of UTM. A preload of 1 N and constant vertical displacement increment of 5 mm/min of the traverse were applied in the tests to simulate quasi static loading conditions. The tests were stopped after specimens failure.  The UTM file has (.txt) extension and contains:  the time of the test (in s, 2nd column), force (in N, 3rd column), traverse displacement (in mm, 4th column).
DOI: 10.34808/hwc6-be20
title: ThreSpect a program for the determination of the Appearance Energies

description: Dataset presents the “ThreSpect” computer program dedicated to simulating threshold energies of neutral and ionized products generated in the collisions of photons or charged particles with atoms and molecules.
The software has been written to support the didactic process of laboratory classes and scientific research conducted at the Laboratory of Complex Systems Spectroscopy of the Gdansk University of Technology (Fahrenheit Universities' core lab)
DOI: 10.34808/9sd8-cm30
title: Dataset for Event-Based Non-Intrusive Load Monitoring Research

description: Data set description
The dataset contains sampled 2 kHz frequency data. There are 3 types of files in the dataset:

scenario description (scenario.X.actual.csv),
measurements (nilm-2000Hz-X.new.csv),
logs of the script collecting measurements (nilm-2000Hz-X.txt),

where X is the number of scenario.
DOI: 10.34808/xcg2-m422
title: Ultrasonic wave propagation and digital image correlation measurements of steel bars under 3-point bending

description: The DataSet contains the results of the mechanical behaviour of a bar under a 3-point bending test. The bar was made of steel and had a cross-section of 5.96 × 5.96 mm2 and a length of 200 mm. The three-point bending test was performed using a Zwick/Roell Z10 universal testing machine (UTM), with a distance between supports of 12 cm. The parameters of the test were: a preload of 10 N, a constant mid-span displacement increment of 2 mm/min. The tests were stopped after 400 s and then the samples were unloaded at the same displacement rate.
During the 3-point bending test, integrated ultrasonic testing (UT) and digital image correlation (DIC) measurements were carried out. Photographs of the front surface of the bar were taken every 2 s by ARAMIS MC 2D 12M. Ultrasonic waves were induced and measured in the longitudinal direction with the use of piezoelectric transducers NAC2025. The transducers were attached to both ends of the bar (A – actuator, at the left end of the bar, B – sensor, at the right end of the bar). The excitation was a five-cycle wave packet with a central frequency of 150 kHz. Wave propagation signals were registered every 2 s with a sampling frequency of 10 MHz by a digital oscilloscope PicoScope 4824. The experimental analysis was performed on four steel bars of the same material and geometry. The dataset consists of wave propagation signals and photographs for bars denoted as #1–#4.
The photographs (.tif) presenting the front surface of the bar were taken every 2 s. The UT files utilize a comma-separated values (.csv) format and contain wave propagation signals of a length of 5 ms, recorded every 2 s. In a single file, the time vector (in ms) and the signals from channels A (in V) and B (in V) can be found. The UTM file has (.txt) extension and contains the time of the test (2nd column), force (3rd column) and displacement of traverse (4th column).
DOI: 10.34808/xxbz-2a47
title: Determination of mechanical properties of Ti13Nb13Zr cubes made with STL technology subjected to uniaxial compression

description: The aim of the study was to determine the mechanical properties of Ti13Nb13Zr cubes made with STL technology (3D printing). The experiments were carried out on the Hung Ta universal test machine HT-2402. Cubes with the initial dimensions of 10x10x10 mm were subjected to compression by increasing force to over 80 kN. In various experiments, the angle between the direction of force and the direction of printing was 0, 45 or 90 degrees. The dependence of deformation (shortening) of the sample depending on the load was observed. The collected measurement data make it possible to determine the average and directional mechanical properties (Young's modulus, Poisson's number) of the material used for printing. The differences in the directional values of these quantities confirm the anisotropicity of the material depending on the print direction.
DOI: 10.34808/by1g-e883
title: Parameter values for topological chaos in the reduced Chialvo model

description: The following dataset is connected with a map-based neuron model introduced by D. Chialvo (Chaos, Solitons & Fractals, 5 (3-4) 1995). The reduced version of this model is a one dimensional discrete system which describes the evolution of the membrane voltage when the value of the second variable, the recovery variable, is fixed. We have recently derived a theorem establishing a combinatorial condition for the orbit of the critical point of the reduced Chialvo map under which the model displays chaos (in the sense of Li-Yorke, Block-Coppel and Devaney). Further information can be found in the file Description_TopologicalChaosChialvo.pdf.
The dataset contains also the Matlab file (r_vs_k_up.m) which in a given discretized range of r and k values (where k is the input current) finds those (r,k) pairs  for which the condition is satisfied and thus the model displays chaos. The program produces a figure with these values depicted and the Excel table where the first row has the values of r  and the corresponding values of k, that satisfy the condition,  are listed below in columns.  Exemplary figure (Chaos_Parameters.png) and xlsx file (chaoticvalues.xlsx) are contained as well. 
We remark that the program can be easily modified for any other unimodal interval map, for which our condition applies.
DOI: 10.34808/nhj9-sq67
title: Results of electrical voltage measurements in reactors - part 1

description: Results of electric voltage measurements in six reactors using various plantings. These are the results of the project: Integrated approach 3M (Macrophytes-Microbiome-Modelling) to elucidate mechanisms of bioenergy production and micropollutants transformation in Floating Treatment Wetlands combined with Microbial Fuel Cells.
DOI: 10.34808/47q7-jg74
title: Determination of the minimum inhibitory concentration of C-1305 derivatives (IKE1-IKE8) against Candida strains

description: The datasets contain the results of determining  the minimum inhibitory concentration of acridone derivatives against C. albicans ATCC 10231, C. glabrata ATCC 90030, C. krusei ATCC 6258 and C. parapsilosis ATCC 22019 by the modified M27-A3 specified by the CLSI.
DOI: 10.34808/8pgn-bb03
title: WRF-METEOPG: numerical weather forecast data for Poland - Days 225-231, 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 225-231 of the year 2021 (August 13 - August 19, 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: 10.34808/2fsm-1a55
title: WRF-METEOPG: numerical weather forecast data for Poland - Days 302-308, 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 302-308 of the year 2021 (October 29 - November 4, 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: 10.34808/72nr-7h22
title: WRF-METEOPG: numerical weather forecast data for Poland - Days 267-273, 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 267-273 of the year 2021 (September 24 - September 30, 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".