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Search results for: EMERGENT KM
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Dataset of non-isomorphic graphs of the coloring types (K4,Km-e;n), 2<m<5, 1<n<R(K4,Km-e)
Open Research DataFor K4 and Km-e graphs, a coloring type (K4,Km-e;n) is such an edge coloring of the full Kn graph, which does not have the K4 subgraph in the first color (representing by no edges in the graph) or the Km-e subgraph in the second color (representing by edges in the graph). Km-e means the full Km graph with one edge removed.The Ramsey number R(K4,Km-e)...
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Dataset of non-isomorphic graphs of the coloring types (K3,Km-e;n), 2<m<7, 1<n<R(K3,Km-e).
Open Research DataFor K3 and Km-e graphs, a coloring type (K3,Km-e;n) is such an edge coloring of the full Kn graph, which does not have the K3 subgraph in the first color (representing by no edges in the graph) or the Km-e subgraph in the second color (representing by edges in the graph). Km-e means the full Km graph with one edge removed.The Ramsey number R(K3,Km-e)...
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Dataset of non-isomorphic graphs of the coloring types (Km,K3-e;n), 4<m<8, 1<n<R(Km,K3-e)
Open Research DataFor Km and K3-e graphs, a coloring type (Km,K3-e;n) is such an edge coloring of the full Kn graph, which does not have the Km subgraph in the first color (representing by no edges in the graph) or the K3-e subgraph in the second color (representing by edges in the graph). K3-e means the full Km graph with one edge removed.The Ramsey number R(Km,K3-e)...
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Dataset of non-isomorphic graphs being coloring types (K5-e,Km-e;n), 2<m<5, 1<n<R(K5-e,Km-e)
Open Research DataFor K5-e and Km-e graphs, the type coloring (K5-e,Km-e;n) is such an edge coloring of the full Kn graph, which does not have the K5-e subgraph in the first color (no edge in the graph) or the Km-e subgraph in the second color (exists edge in the graph). Km-e means the full Km graph with one edge removed.The Ramsey number R(K5-e,Km-e) is the smallest...
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Dataset of non-isomorphic graphs being coloring types (K3-e,Km-e;n), 2<m<8, 1<n<R(K3-e,Km-e)
Open Research DataFor K3-e and Km-e graphs, the type coloring (K3-e,Km-e;n) is such an edge coloring of the full Kn graph, which does not have the K3-e subgraph in the first color (no edge in the graph) or the Km-e subgraph in the second color (exists edge in the graph). Km-e means the full Km graph with one edge removed.The Ramsey number R(K3-e,Km-e) is the smallest...
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Dataset of non-isomorphic graphs being coloring types (K4-e,Km-e;n), 2<m<7, 1<n<R(K4-e,Km-e)
Open Research DataFor K4-e and Km-e graphs, the type coloring (K4-e,Km-e;n) is such an edge coloring of the full Kn graph, which does not have the K4-e subgraph in the first color (no edge in the graph) or the Km-e subgraph in the second color (exists edge in the graph). Km-e means the full Km graph with one edge removed.The Ramsey number R(K4-e,Km-e) is the smallest...
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Dataset of non-isomorphic graphs being coloring types (K6-e,Km-e;n), 2<m<5, 1<n<R(K6-e,Km-e)
Open Research DataFor K6-e and Km-e graphs, the type coloring (K6-e,Km-e;n) is such an edge coloring of the full Kn graph, which does not have the K6-e subgraph in the first color (no edge in the graph) or the Km-e subgraph in the second color (exists edge in the graph). Km-e means the full Km graph with one edge removed. The Ramsey number R(K6-e,Km-e) is the smallest...
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Dataset of non-isomorphic graphs of the coloring types (K3,Km;n), 2<m<7, 1<n<R(3,m)
Open Research DataFor K3 and Km graphs, a coloring type (K3,Km;n) is such an edge coloring of the full Kn graph, which does not have the K3 subgraph in the first color (representing by no edges in the graph) or the Km subgraph in the second color (representing by edges in the graph).The Ramsey number R(3,m) is the smallest natural number n such that for any edge coloring...
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S7-DK7 Myślenice Zakopane 2017 - video data
Open Research DataThe video cameras installed on the Expressway S7: 6 cameras in both directions, location: main road registered vehicles along the entire length of the road section. Cameras were mounted on 5-7 meter high masts. Date 11-15.08.2017
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Data from 76- to 81-GHz mmWave Sensor located at S7 road
Open Research DataThe set consists data recorded employing IWR1642 mmWave sensor from Texas Instruments. The purpose of the experiment was to detect vehicles and their speed in real conditions – at S7 road, near Dworek village (54°14'40.0"N 18°59'59.0"E).
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A1-S6 Rebielcz Raduńska 2016 - video data
Open Research DataThe video cameras installed on the Expressway S6 and motorway A1: 4 cameras in both directions, location: main road registered vehicles along the entire length of the road section. Cameras were mounted on 5-7 meter high masts. Date 29-31.07.2016
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Simulation of the derecho event in Poland of 11th August 2017 using the WRF model and ERA5 data on pressure levels as initial conditions
Open Research DataThis series contains datasets related to the forecasting of a severe weather event, a derecho, in Poland on 11 August 2017. The simulations were conducted using the Weather Research and Forecasting (WRF) model version 4.2.1 with initial and boundary conditions from ERA5 on pressure levels. Simulation was performed for two starting hours: at 00:00 and...
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Simulation of the derecho event in Poland of 11th August 2017 using the WRF model and GFS data as initial conditions
Open Research DataThis series contains datasets related to the forecasting of a severe weather event, a derecho, in Poland on 11 August 2017. The simulations were conducted using the Weather Research and Forecasting (WRF) model version 4.2.1 with initial and boundary conditions from Global Forecast System (GFS). Simulation was performed for two starting hours: at 00:00...
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Simulation of the derecho event in Poland of 11th August 2017 using the WRF model and GDAS data as initial conditions
Open Research DataThis series contains datasets related to the forecasting of a severe weather event, a derecho, in Poland on 11 August 2017. The simulations were conducted using the Weather Research and Forecasting (WRF) model version 4.2.1 with initial and boundary conditions from Global Data Assimilation System (GDAS). Simulation was performed for two starting hours:...
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Simulation of the derecho event in Poland of 11th August 2017 using the WRF model and ECMWF data as initial conditions
Open Research DataThis series contains datasets related to the forecasting of a severe weather event, a derecho, in Poland on 11 August 2017. The simulations were conducted using the Weather Research and Forecasting (WRF) model version 4.2.1 with initial and boundary conditions from European Centre for Medium-Range Weather Forecasts (ECMWF). Simulation was performed...
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Simulation of the derecho event in Poland of 11th August 2017 using the WRF model and ERA5 data on model levels as initial conditions
Open Research DataThis series contains datasets related to the forecasting of a severe weather event, a derecho, in Poland on 11 August 2017. The simulations were conducted using the Weather Research and Forecasting (WRF) model version 4.2.1 with initial and boundary conditions from ERA5 on model levels. Simulation was performed for two starting hours: at 00:00 and 12:00...
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Accidents, victims and risk levels on regional roads in pomorskie voivodeship, 2017-2019 - All accidents
Open Research DataData contain risk classification on regional roads (voivodeship roads) in pomorskie voivodeship in 2017-2019. Measures used to assess the level of risk are (5 classes low, low to medium, medium, medium to high, high):
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WRF forecasting data of severe weather event in Central Europe on 11 August 2017
Open Research DataThis dataset is related to the forecasting of weather conditions in Central Europe on 11 August 2017. During that day, the severe and devastating weather phenomenon (derecho) occurred in Poland. The simulations were carried out using the Weather Research and Forecasting (WRF) model version 4.2.1 with the initial and boundary conditions from the Global...
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Accidents, victims and risk levels on regional roads in pomorskie voivodeship, 2017-2019 - Pedestrian accidents
Open Research DataData contain risk classification on regional roads (voivodeship roads) in pomorskie voivodeship in 2017-2019, risk group: Pedestrians. Measures used to assess the level of risk are (5 classes low, low to medium, medium, medium to high, high):
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Accidents, victims and risk levels on regional roads in pomorskie voivodeship, 2017-2019 - Young drivers accidents
Open Research DataData contain risk classification on regional roads (voivodeship roads) in pomorskie voivodeship in 2017-2019, risk group: young driver offender. Measures used to assess the level of risk are (5 classes low, low to medium, medium, medium to high, high):
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Accidents, victims and risk levels on regional roads in pomorskie voivodeship, 2017-2019 - Motorcycle and moped accidents
Open Research DataData contain risk classification on regional roads (voivodeship roads) in pomorskie voivodeship in 2017-2019, risk group: motorcyclists and mopeds. Measures used to assess the level of risk are (5 classes low, low to medium, medium, medium to high, high):
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Accidents, victims and risk levels on regional roads in pomorskie voivodeship, 2017-2019 - Head-on accidents
Open Research DataData contain risk classification on regional roads (voivodeship roads) in pomorskie voivodeship in 2017-2019, type of accidents: head-on. Measures used to assess the level of risk are (5 classes low, low to medium, medium, medium to high, high):
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Accidents, victims and risk levels on regional roads in pomorskie voivodeship, 2017-2019 - Side-impact accidents
Open Research DataData contain risk classification on regional roads (voivodeship roads) in pomorskie voivodeship in 2017-2019, type of accidents: Side-impact. Measures used to assess the level of risk are (5 classes low, low to medium, medium, medium to high, high):
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Accidents, victims and risk levels on regional roads in pomorskie voivodeship, 2017-2019 - Run off road accidents
Open Research DataData contain risk classification on regional roads (voivodeship roads) in pomorskie voivodeship in 2017-2019, type of accidents: Run off road. Measures used to assess the level of risk are (5 classes low, low to medium, medium, medium to high, high):
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Accidents, victims and risk levels on regional roads in pomorskie voivodeship, 2017-2019 - Elderly people accidents
Open Research DataData contain risk classification on regional roads (voivodeship roads) in pomorskie voivodeship in 2017-2019, risk group: elderly people (65+) - drivers, passengers and . vulnerable road user. Measures used to assess the level of risk are (5 classes low, low to medium, medium, medium to high, high):
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Accidents, victims and risk levels on regional roads in pomorskie voivodeship, 2017-2019 - Cyclist accidents
Open Research DataData contain risk classification on regional roads (voivodeship roads) in pomorskie voivodeship in 2017-2019, risk group: Cyclists. Measures used to assess the level of risk are (5 classes low, low to medium, medium, medium to high, high):
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Accidents, victims and risk levels on regional roads in pomorskie voivodeship, 2017-2019 - Night accidents
Open Research DataData contain risk classification on regional roads (voivodeship roads) in pomorskie voivodeship in 2017-2019, time of accidents: Night. Measures used to assess the level of risk are (5 classes low, low to medium, medium, medium to high, high):
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Accidents, victims and risk levels on regional roads in pomorskie voivodeship, 2017-2019 - Excessive speed accidents
Open Research DataData contain risk classification on regional roads (voivodeship roads) in pomorskie voivodeship in 2017-2019, cause of accidents: Excessive speed accidents. Measures used to assess the level of risk are (5 classes low, low to medium, medium, medium to high, high):
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Accidents, victims and risk levels on regional roads in pomorskie voivodeship, 2017-2019 - Child accidents
Open Research DataData contain risk classification on regional roads (voivodeship roads) in pomorskie voivodeship in 2017-2019, risk group: children - drivers, passengers and . vulnerable road user.. Measures used to assess the level of risk are (5 classes low, low to medium, medium, medium to high, high):
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Accidents, victims and risk levels on regional roads in pomorskie voivodeship, 2017-2019 - Alcohol and drug accidents
Open Research DataData contain risk classification on regional roads (voivodeship roads) in pomorskie voivodeship in 2017-2019, risk group: Offenders under influence of alcohol or drug - driver or pedestrian. Measures used to assess the level of risk are (5 classes low, low to medium, medium, medium to high, high):
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The luminescence study of Sr0.98Li2.5 + zAl1.5 – zO3 + 2zN1 – 2z:0.02Eu coumpounds.
Open Research DataEu2+-doped UCr4C4-type oxynitride phosphors are emerging innovative materials to replace oxide and nitride phosphors for high-end light-emitting devices. A series of Sr0.98Li2.5 + zAl1.5 – zO3 + 2zN1 – 2z:0.02Eu phosphors were synthesized by collaborators from the National Taiwan University by precursor engineering, and these products showed an unexpected...
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The voltage on bus bars of the main switchboard of the car carrier electrical power system at sea trials during a bow thruster start-up
Open Research DataThe dataset is a part of the research results on the quality of supply voltage on bus bars of the main switchboard of the ship's electrical power system in different states of ship exploitation. In ships' electrical power systems, disturbances occurring in voltage waveforms on bus bars of the main switchboard are connected mainly with the processes...
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Monthly mean concentration of chlorophyll a on the sea surface of the Baltic Sea
Open Research DataMonthly mean surface concentration of chlorophyll a in the years 2003-2022 calculated on the basis of data from the SatBaltic System (https://satbaltyk.iopan.gda.pl/). Maps of monthly average values with a resolution of 1 km were derived from daily satellite data from the Moderate Resolution Imaging Spectroradiometer (MODIS). Gaps in satellite images...
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Permanent traffic counting stations - Expressway S7 in Gdansk, Poland
Open Research DataThe data includes traffic data from permanent traffic count station located on the expressway S7 in the Tri-City Agglomeration area in Poland. The data covers the 2 months of 2015 (May, October) and one direction of traffic (eastbound).
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Anomalous anisotropy of deuterium-grown boron-doped diamond and the role of boron-tetramers in the Mott-Insulator transition
Open Research DataWe show anisotropy in the superconductivity for boron-doped diamond thin films prepared with Microwave Plasma Assisted Chemical Vapor Deposition using deuterium-rich plasma. This anomalous phase transition is linked with the emergence of boson quantum entanglement states behaving as a bosonic insulating state. Here, we show that the superconducting...
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Research 1: Heterojunction of (P, S) co-doped g-C3N4 and 2D TiO2 for improved carbamazepine and acetaminophen photocatalytic degradation
Open Research DataThe first research article consisted on the synthesis of phosphorus and sulfur co-doped graphitic carbon nitride incorporated in 2D TiO2 structure for solar-driven degradation of emerging pollutants from the group of pharmaceuticals not susceptible to biodegradation. The hybrid photocatalysts with different loadings of (P, S)-doped g-C3N4 were characterized...
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WRF-METEOPG: numerical weather forecast data for Poland - Days 197-203, Year 2021
Open Research DataWRF-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...
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WRF-METEOPG: numerical weather forecast data for Poland - Days 190-196, Year 2021
Open Research DataWRF-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...
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WRF-METEOPG: numerical weather forecast data for Poland - Days 183-189, Year 2021
Open Research DataWRF-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...
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WRF-METEOPG: numerical weather forecast data for Poland - Days 176-182, Year 2021
Open Research DataWRF-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...
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WRF-METEOPG: numerical weather forecast data for Poland - Days 218-224, Year 2021
Open Research DataWRF-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...
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WRF-METEOPG: numerical weather forecast data for Poland - Days 239-245, Year 2021
Open Research DataWRF-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...
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WRF-METEOPG: numerical weather forecast data for Poland - Days 225-231, Year 2021
Open Research DataWRF-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...
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WRF-METEOPG: numerical weather forecast data for Poland - Days 267-273, Year 2021
Open Research DataWRF-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...
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WRF-METEOPG: numerical weather forecast data for Poland - Days 281-287, Year 2021
Open Research DataWRF-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...
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WRF-METEOPG: numerical weather forecast data for Poland - Days 295-301, Year 2021
Open Research DataWRF-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...
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WRF-METEOPG: numerical weather forecast data for Poland - Days 211-217, Year 2021
Open Research DataWRF-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...
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WRF-METEOPG: numerical weather forecast data for Poland - Days 302-308, Year 2021
Open Research DataWRF-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...
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WRF-METEOPG: numerical weather forecast data for Poland - Days 253-259, Year 2021
Open Research DataWRF-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...
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WRF-METEOPG: numerical weather forecast data for Poland - Days 274-280, Year 2021
Open Research DataWRF-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...