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Search results for: CAUSE OF THE ACCIDENT
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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 - 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 - 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 - 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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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 - 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 - 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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Accidents, victims and risk levels on regional roads in pomorskie voivodeship, 2019 - Poviat areas
Open Research DataData contain the number of accidents, victims, accident costs divided on poviat areas (16 areas) on regional roads (voivodeship roads) in pomorskie voivodeship in 2019. Measures used to assess the level of social 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, 2019 - Municipality areas
Open Research DataData contain the number of accidents, victims, accident costs divided on municipality areas (119 areas) on regional roads (voivodeship roads) in pomorskie voivodeship in 2019. Measures used to assess the level of social 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 - Medium to High and high road sections
Open Research DataData contain road sections with the highest number of accidents and victims on regional roads (voivodeship roads) in pomorskie voivodeship in 2017-2019. Measures used to assess the level of risk is: minimum 4 accidents or 4 seriously injured or fatalities per one kilometer (5 classes: low, low to medium, medium, medium to high, high):
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Structure of own costs of private universities in 2010
Open Research DataThe biggest costs are generated by basic teaching activities. However, in the context of the competitiveness and quality of education in private universities, research expenditure is a cause for concern. Dataset shows that these universities spend less than 4.0% on research compared to other activities. For comparison, in public universities research...
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Nuts 51 (voj. dolnoslaskie). Number of accidents, injuries, seriously Injured and fatalities
Open Research DataThe 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).
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Nuts 81 (voj. lubelskie). Number of accidents, injuries, seriously Injured and fatalities
Open Research DataThe 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)
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Nuts 61 (voj. kujawsko-pomorskie). Number of accidents, injuries, seriously Injured and fatalities
Open Research DataThe 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)
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Nuts 92 (mazowiecki regionalny region). Number of accidents, injuries, seriously Injured and fatalities
Open Research DataThe 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)
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Nuts 43 (voj. lubuskie). Number of accidents, injuries, seriously Injured and fatalities
Open Research DataThe 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)
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Nuts 62 (voj. warminsko-mazurskie). Number of accidents, injuries, seriously Injured and fatalities
Open Research DataThe 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)
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Nuts 42 (voj. zachodniopomorskie). Number of accidents, injuries, seriously Injured and fatalities
Open Research DataThe 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)
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Nuts 52 (voj. opolskie). Number of accidents, injuries, seriously Injured and fatalities
Open Research DataThe 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)
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Nuts 22 (voj. slaskie). Number of accidents, injuries, seriously Injured and fatalities
Open Research DataThe 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)
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Nuts 71 (voj. lodzkie). Number of accidents, injuries, seriously Injured and fatalities
Open Research DataThe 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)
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Nuts 21 (voj. malopolskie). Number of accidents, injuries, seriously Injured and fatalities
Open Research DataThe 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)
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Nuts 82 (voj. podkarpackie). Number of accidents, injuries, seriously Injured and fatalities
Open Research DataThe 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)
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Nuts 84 (voj. podlaskie). Number of accidents, injuries, seriously Injured and fatalities
Open Research DataThe 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)
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Nuts 63 (voj. pomorskie). Number of accidents, injuries, seriously Injured and fatalities
Open Research DataThe 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)
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Nuts 41 (voj. wielkopolskie). Number of accidents, injuries, seriously Injured and fatalities
Open Research DataThe 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)
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Nuts 91 (woj. warszawski - stoleczny). Number of accidents, injuries, seriously Injured and fatalities
Open Research DataThe 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)
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Nuts 72 (voj. swietokrzyskie). Number of accidents, injuries, seriously Injured and fatalities
Open Research DataThe 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)
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The causes of labour inactivity of Gdańsk University of Technology graduates – years 2014-2018
Open Research DataThe dataset includes data from the survey on the Gdańsk University of Technology graduates from the years 2014-2018 on the causes of their labour inactivity. The survey was conducted in the period from 2016 to 2020, two years after the respondents obtained graduate status. The research sample included 9413 respondents. To summarize, the most common...
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Terrestrial Laser Scan and Survey Images - 3D Model - Simulated Car Accident - MP1 - Reigl
Open Research DataDataset description: Raw images from photogrammetric and terresttial laser scaning survey. Object: Simulated Car AccidentLocation: Puck Pomorskie, PolandDrone type: DJI Mavic Pro 1Flight plan: Circle | Point Of InterestTarget Product: 3D ModelDate: 07.07.2017Direct georeferencing: yesMetadata data: Yes/GPSGCP: Yes - some targets on the object are marked...
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Annual growth of House price index in European Union in 2006-2017
Open Research DataThe financial crisis of 2008 has caused a number of changes in the investment of both companies and individuals. One of the widely invested assets became the real estate market. The decline in real estate prices was noted in 2009 and 2012-2014. The highest decrease in property prices was indicated in Bulgaria, Ireland, Lithuania, Latvia, Slovakia and...
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Studies on the building typology, Kartuzy case study, March 2020
Open Research DataThe data presents results of work within the studies on the building typology, Kartuzy case study, study proposal from March 2020. The goal of the process was to identify the basic types of urban structure of the area and to analyse them in terms of location, connections with the neighbourhood, basic and social functions, population density, building...
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Case Study NEB Atlas / part I - 3D Models / Brunnshög, Lund
Open Research DataThe data presents the results of work on the analysis of contemporary neighbourhoods. The aim of this part of the research was to create a digital model - a simplified digital twin - for selected parts of housing estates already realised in various cities in Europe. This group presents a model for a fragment of the Brunnshög district in Lund, Sweden....
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Studies on the building typology, Dolny Sopot district case study, March 2020
Open Research DataThe data presents results of work within the studies on the building typology, Dolny Sopot district case study, study proposal from March 2020. The goal of the process was to identify the basic types of urban structure of the area and to analyse them in terms of location, connections with the neighbourhood, basic and social functions, population density,...
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Studies on the building typology, Gdańsk-Oliwa district case study, March 2020
Open Research DataThe data presents results of work within the studies on the building typology, Gdańsk-Stara Oliwa district case study, study proposal from March 2020. The goal of the process was to identify the basic types of urban structure of the area and to analyse them in terms of location, connections with the neighbourhood, basic and social functions, population...
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Studies on the building typology, Gdańsk-Brzeźno district case study, March 2020
Open Research DataThe data presents results of work within the studies on the building typology, Gdańsk-Brzeźno district case study, study proposal from March 2020. The goal of the process was to identify the basic types of urban structure of the area and to analyse them in terms of location, connections with the neighbourhood, basic and social functions, population...
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Force-deformation spectroscopy in contact mode
Open Research DataThe deformation-distance spectroscopic curve is obtained by registering the value of the probe cantilever deflection as a function of the elongation of the piezoelectric scanner. It assumes a simple relationship in the form of Hooke’s law, linking the deformation of the lever with the amount of its deflection caused by the proximity of the probe and...
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Case Study NEB Atlas / part I - 3D Models / King's Cross, London
Open Research DataThe data presents the results of work on the analysis of contemporary neighbourhoods. The aim of this part of the research was to create a digital model - a simplified digital twin - for selected parts of housing estates already realised in various cities in Europe. This group presents a model for a fragment of the King's Cross, London, UK. The students...
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The effect of interview location on the perception of Ecosystem Services provided by trees. A Polish case study.
Open Research DataSeveral survey research methods are available to study attitudes towards the environment, including: CAWI (computer-assisted Internet interview), CATI (computer-assisted telephone interview), CAPI (computer-assisted personal interview), and PAPI (paper-pencil interview). An increasingly popular CAWI approach is the geo-questionnaire – an internet survey...
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Case Study NEB Atlas / part II - Autodesk Forma analysis / BedZED, London
Open Research DataThe data presents the results of work on the analysis of contemporary neighbourhoods. The aim of this part of the research was to analysis housing estates already existed in various cities in Europe. The analyses ware done in real time with AI and powered for key factors such as sun hours, daylight potential, noise, wind, and microclimate. These data...
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Studies on the building typology, Gdańsk-Nowy Port district case study, March 2020
Open Research DataThe data presents results of work within the studies on the building typology, Gdańsk-Stary Nowy Port district case study, study proposal from March 2020. The goal of the process was to identify the basic types of urban structure of the area and to analyse them in terms of location, connections with the neighbourhood, basic and social functions, population...
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Studies on the building typology, Gdańsk-Przymorze Małe district case study, March 2020
Open Research DataThe data presents results of work within the studies on the building typology, Gdańsk-Przymorze Małe district case study, study proposal from March 2020. The goal of the process was to identify the basic types of urban structure of the area and to analyse them in terms of location, connections with the neighbourhood, basic and social functions, population...
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Towards Compact City – Gdańsk-Osowa district case study, proposal no 2, January 2021
Open Research DataThe data presents results of work within the participatory planning process: Towards Compact City – Gdańsk-Osowa district case study, proposal no 2, from January 2021. The goal of the process was to present the new, innovative design visions for the area located in Gdańsk-Osowa district in the context of “Compact city” and “Walkable city” ideas. The...
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Towards Compact City – Gdańsk-Osowa district case study, proposal no 3, January 2021
Open Research DataThe data presents results of work within the participatory planning process: Towards Compact City – Gdańsk-Osowa district case study, proposal no 3, from January 2021. The goal of the process was to present the new, innovative design visions for the area located in Gdańsk-Osowa district in the context of “Compact city” and “Walkable city” ideas. The...