Wyszukiwarka
Wydział Inżynierii Lądowej i Środowiska
Dane badawcze
Filtry
wszystkich: 409
Katalog Danych Badawczych
-
WRF-METEOPG: numerical weather forecast data for Poland - Days 106-112, Year 2021
Dane BadawczeWRF-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...
-
WRF-METEOPG: numerical weather forecast data for Poland - Days 92-98, Year 2021
Dane BadawczeWRF-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...
-
WRF-METEOPG: numerical weather forecast data for Poland - Days 99-105, Year 2021
Dane BadawczeWRF-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...
-
Sulfammox process_task 1
Dane BadawczeAnaerobic ammonia-oxidizing bacteria have a more comprehensive metabolism thanexpected - there may be other electron acceptors that oxidize ammonium nitrogen under anaerobicconditions, in addition to the well-known nitrite nitrogen, one of which is sulfate in the sulfammoxprocess. Sulfate-containing compounds are part of the medium for the anammox process,...
-
Permanent traffic counting stations - Expressway S7 in Gdansk, Poland
Dane BadawczeThe 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).
-
Data on bicycle traffic in Gdansk paired with weather and air quality data
Dane BadawczeThe file contains data on bicycle traffic registered by counting stations loacted in Gdańsk in the years 2013-2020. The data are paired with weather and air quality data from Gdansk collected for the same period. The data is described below:
-
Data on bicycle traffic in Lodz (Poland) paired with weather and air quality data
Dane BadawczeThe file contains data on bicycle traffic registered by counting stations loacted in Lodz in the years 2016-2019. The data are paired with weather and air quality data from Lodz collected for the same period. The data is described below:
-
Nuts 81 (voj. lubelskie). Number of accidents, injuries, seriously Injured and fatalities
Dane BadawczeThe data contains information about the number of accidents, injuries, seriously Injured and fatalities between 1999 and 2019 in months in voj. lubelskie (Poland, nuts 81)
-
Nuts 21 (voj. malopolskie). Number of accidents, injuries, seriously Injured and fatalities
Dane BadawczeThe data contains information about the number of accidents, injuries, seriously Injured and fatalities between 1999 and 2019 in months in voj. malopolskie (Poland, nuts 21)
-
Nuts 61 (voj. kujawsko-pomorskie). Number of accidents, injuries, seriously Injured and fatalities
Dane BadawczeThe data contains information about the number of accidents, injuries, seriously Injured and fatalities between 1999 and 2019 in months in voj. kujawsko-pomorskie (Poland, nuts 61)
-
Nuts 22 (voj. slaskie). Number of accidents, injuries, seriously Injured and fatalities
Dane BadawczeThe data contains information about the number of accidents, injuries, seriously Injured and fatalities between 1999 and 2019 in months in voj. slaskie (Poland, nuts 22)
-
Nuts 41 (voj. wielkopolskie). Number of accidents, injuries, seriously Injured and fatalities
Dane BadawczeThe data contains information about the number of accidents, injuries, seriously Injured and fatalities between 1999 and 2019 in months in voj. wielkopolskie (Poland, nuts 41)
-
Nuts 42 (voj. zachodniopomorskie). Number of accidents, injuries, seriously Injured and fatalities
Dane BadawczeThe data contains information about the number of accidents, injuries, seriously Injured and fatalities between 1999 and 2019 in months in voj. zachodniopomorskie (Poland, nuts 42)
-
Nuts 43 (voj. lubuskie). Number of accidents, injuries, seriously Injured and fatalities
Dane BadawczeThe data contains information about the number of accidents, injuries, seriously Injured and fatalities between 1999 and 2019 in months in voj. lubuskie (Poland, nuts 43)
-
The aggregation of objects representing buildings in the Kartuzy district - scale 1:10000. Data from OSM.
Dane BadawczeThe process of automatic generalization is one of the elements of spatial data preparation for the purpose of creating digital cartographic studies. The presented data include a part of the process of generalization of building groups obtained from the Open Street Map databases (OSM) [1].
-
Nuts 52 (voj. opolskie). Number of accidents, injuries, seriously Injured and fatalities
Dane BadawczeThe data contains information about the number of accidents, injuries, seriously Injured and fatalities between 1999 and 2019 in months in voj. opolskie (Poland, nuts 52)
-
Nuts 71 (voj. lodzkie). Number of accidents, injuries, seriously Injured and fatalities
Dane BadawczeThe data contains information about the number of accidents, injuries, seriously Injured and fatalities between 1999 and 2019 in months in voj. lodzkie (Poland, nuts 71)
-
Nuts 72 (voj. swietokrzyskie). Number of accidents, injuries, seriously Injured and fatalities
Dane BadawczeThe data contains information about the number of accidents, injuries, seriously Injured and fatalities between 1999 and 2019 in months in voj. swietokrzyskie (Poland, nuts 72)
-
Nuts 62 (voj. warminsko-mazurskie). Number of accidents, injuries, seriously Injured and fatalities
Dane BadawczeThe data contains information about the number of accidents, injuries, seriously Injured and fatalities between 1999 and 2019 in months in voj. warminsko-mazurskie (Poland, nuts 62)
-
Nuts 63 (voj. pomorskie). Number of accidents, injuries, seriously Injured and fatalities
Dane BadawczeThe data contains information about the number of accidents, injuries, seriously Injured and fatalities between 1999 and 2019 in months in voj. pomorskie (Poland, nuts 63)
-
Nuts 82 (voj. podkarpackie). Number of accidents, injuries, seriously Injured and fatalities
Dane BadawczeThe data contains information about the number of accidents, injuries, seriously Injured and fatalities between 1999 and 2019 in months in voj. podkarpackie(Poland, nuts 82)
-
Nuts 84 (voj. podlaskie). Number of accidents, injuries, seriously Injured and fatalities
Dane BadawczeThe data contains information about the number of accidents, injuries, seriously Injured and fatalities between 1999 and 2019 in months in voj. podlaskie (Poland, nuts 84)
-
Nuts 91 (woj. warszawski - stoleczny). Number of accidents, injuries, seriously Injured and fatalities
Dane BadawczeThe data contains information about the number of accidents, injuries, seriously Injured and fatalities between 1999 and 2019 in months in warszawski - stoleczny region (Poland, nuts 91)
-
Nuts 92 (mazowiecki regionalny region). Number of accidents, injuries, seriously Injured and fatalities
Dane BadawczeThe data contains information about the number of accidents, injuries, seriously Injured and fatalities between 1999 and 2019 in months in mazowiecki regionalny region (Poland, nuts 92)
-
Nuts 51 (voj. dolnoslaskie). Number of accidents, injuries, seriously Injured and fatalities
Dane BadawczeThe data contains information about the number of accidents, injuries, seriously Injured and fatalities between 1999 and 2019 in months in voj. dolnoslaskie (Poland, nuts 71).
-
The generalization of objects representing groups of buildings in the Kartuzy district by simplification operator with the Simplify Building tool - scale 1:25000
Dane BadawczeThe process of automatic generalization is one of the elements of spatial data preparation for the purpose of creating digital cartographic studies. The presented data include a part of the process of generalization of building groups obtained from the national geodesy and cartography resource from BDOT10k (10k topographic database) [1].
-
The generalization by simplification operator with Sester’s method of objects representing groups of buildings in Kartuzy district - scale 1:25000
Dane BadawczeThe process of automatic generalization is one of the elements of spatial data preparation for the purpose of creating digital cartographic studies. The presented data include a part of the process of generalization of building groups obtained from the national geodesy and cartography resource from BDOT10k (10k topographic database) [1].
-
The generalization by simplification operator with Chrobak’s method of objects representing groups of buildings in Kartuzy district - scale 1:25000
Dane BadawczeThe process of automatic generalization is one of the elements of spatial data preparation for the purpose of creating digital cartographic studies. The presented data include a part of the process of generalization of building groups obtained from the national geodesy and cartography resource from BDOT10k (10k topographic database) [1].
-
The aggregation of objects representing buildings in the Kartuzy district - scale 1:25000
Dane BadawczeThe process of automatic generalization is one of the elements of spatial data preparation for the purpose of creating digital cartographic studies. The presented data include a part of the process of generalization of building groups obtained from the national geodesy and cartography resource from BDOT10k (10k topographic database) [1].
-
The generalization of objects representing groups of buildings in the Kartuzy district by simplification operator with the Simplify Building tool - scale 1:10000. Data from OSM.
Dane BadawczeThe process of automatic generalization is one of the elements of spatial data preparation for the purpose of creating digital cartographic studies. The presented data include a part of the process of generalization of building groups obtained from the Open Street Map databases (OSM) [1].
-
The generalization by simplification operator with Sester’s method of objects representing groups of buildings in Kartuzy district - scale 1:10000. Data from OSM
Dane BadawczeThe process of automatic generalization is one of the elements of spatial data preparation for the purpose of creating digital cartographic studies. The presented data include a part of the process of generalization of building groups obtained from the Open Street Map databases (OSM) [1].
-
The generalization by simplification operator with Chrobak’s method of objects representing groups of buildings in Kartuzy district - scale 1:10000. Data from OSM.
Dane BadawczeThe process of automatic generalization is one of the elements of spatial data preparation for the purpose of creating digital cartographic studies. The presented data include a part of the process of generalization of building groups obtained from the Open Street Map databases (OSM) [1].
-
The generalization by simplification operator with the Simplify Building tool of objects representing groups of buildings in Gdańsk district - scale 1:10000. Data from OSM
Dane BadawczeThe process of automatic generalization is one of the elements of spatial data preparation for the purpose of creating digital cartographic studies. The presented data include a part of the process of generalization of building groups obtained from the Open Street Map databases (OSM) [1].
-
The generalization by simplification operator with Sester’s method of objects representing groups of buildings in Gdańsk district - scale 1:10000. Data from OSM
Dane BadawczeThe process of automatic generalization is one of the elements of spatial data preparation for the purpose of creating digital cartographic studies. The presented data include a part of the process of generalization of building groups obtained from the Open Street Map databases (OSM) [1].
-
The generalization by simplification operator with Chrobak’s method of objects representing groups of buildings in Gdańsk district - scale 1:10000. Data from OSM
Dane BadawczeThe process of automatic generalization is one of the elements of spatial data preparation for the purpose of creating digital cartographic studies. The presented data include a part of the process of generalization of building groups obtained from the Open Street Map databases (OSM) [1].
-
The aggregation of objects representing Gdańsk district buildings - scale 1:10000. Data from OSM.
Dane BadawczeThe process of automatic generalization is one of the elements of spatial data preparation for the purpose of creating digital cartographic studies. The presented data include a part of the process of generalization of building groups obtained from the Open Street Map databases (OSM) [1].
-
WRF-METEOPG: numerical weather forecast data for Poland - Days 85-91, Year 2021
Dane BadawczeWRF-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...
-
WRF-METEOPG: numerical weather forecast data for Poland - Days 78-84, Year 2021
Dane BadawczeWRF-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...
-
WRF-METEOPG: numerical weather forecast data for Poland - Days 57-63, Year 2021
Dane BadawczeWRF-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...
-
WRF-METEOPG: numerical weather forecast data for Poland - Days 64-70, Year 2021
Dane BadawczeWRF-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...
-
WRF-METEOPG: numerical weather forecast data for Poland - Days 71-77, Year 2021
Dane BadawczeWRF-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...
-
WRF-METEOPG: numerical weather forecast data for Poland - Days 22-28, Year 2021
Dane BadawczeWRF-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...
-
WRF-METEOPG: numerical weather forecast data for Poland - Days 15-21, Year 2021
Dane BadawczeWRF-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...
-
WRF-METEOPG: numerical weather forecast data for Poland - Days 8-14, Year 2021
Dane BadawczeWRF-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...
-
WRF-METEOPG: numerical weather forecast data for Poland - Days 29-35, Year 2021
Dane BadawczeWRF-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...
-
WRF-METEOPG: numerical weather forecast data for Poland - Days 36-42, Year 2021
Dane BadawczeWRF-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...
-
WRF-METEOPG: numerical weather forecast data for Poland - Days 43-49, Year 2021
Dane BadawczeWRF-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...
-
WRF-METEOPG: numerical weather forecast data for Poland - Days 50-56, Year 2021
Dane BadawczeWRF-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...
-
A New Adaptive Method for the Extraction of Steel Design Structures from an Integrated Point Cloud
Dane BadawczeA new automatic and adaptive algorithm for edge extraction from a random point cloud was developed and presented herein. The proposed algorithm was tested using real measurement data. The developed algorithm is able to realistically reduce the amount of redundant data and correctly extract stable edges representing the geometric structures of a studied...
-
WRF-METEOPG: numerical weather forecast data for Poland - Days 1-7, Year 2021
Dane BadawczeWRF-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...