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Wyniki wyszukiwania dla: ACCIDENT RISKS
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Accidents, victims and risk levels on regional roads in pomorskie voivodeship, 2017-2019 - Excessive speed accidents
Dane BadawczeData 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 - All accidents
Dane BadawczeData 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 - Head-on accidents
Dane BadawczeData 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
Dane BadawczeData 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
Dane BadawczeData 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
Dane BadawczeData 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 - Pedestrian accidents
Dane BadawczeData 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
Dane BadawczeData 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
Dane BadawczeData 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
Dane BadawczeData 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
Dane BadawczeData 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
Dane BadawczeData 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
Dane BadawczeData 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
Dane BadawczeData 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
Dane BadawczeData 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
Dane BadawczeData 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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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).
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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Terrestrial Laser Scan and Survey Images - 3D Model - Simulated Car Accident - MP1 - Reigl
Dane BadawczeDataset 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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Detailed results of shaping personnel risk factors in enterprise A
Dane BadawczeThe data presents the shape of all the researched personnel risk factors in the A enterprise (which was tested by the author). Further considerations should be started with the presentation of the synthesis of the obtained results, which is presented in this research data.
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Detailed results of shaping personnel risk factors in enterprise C
Dane BadawczeThe data presents the shape of all the researched personnel risk factors in the C enterprise (which was tested by the author). Further considerations should be started with the presentation of the synthesis of the obtained results, which is presented in this research data.
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Detailed results of shaping personnel risk factors in enterprise D
Dane BadawczeThe data presents the shape of all the researched personnel risk factors in the D enterprise (which was tested by the author). Further considerations should be started with the presentation of the synthesis of the obtained results, which is presented in this research data.
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Detailed results of shaping personnel risk factors in enterprise B
Dane BadawczeThe data presents the shape of all the researched personnel risk factors in the B enterprise (which was tested by the author). Further considerations should be started with the presentation of the synthesis of the obtained results, which is presented in this research data.
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A synthetic result of the development of personnel risk factors in the A, B, C, D enterprise
Dane BadawczeThe data below presents the shape of all the researched personnel risk factors in the A, B, C, D enterprise (which were tested by the author). Further considerations should be started with the presentation of the synthesis of the obtained results, which is presented in this research data.
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Development of factors and measurement of personnel risk in the marketing services of four Polish pharmaceutical companies
Dane BadawczeThis text contains the presentation and analysis of research results in relation to four companies (A, B, C, D), according to the adopted case study method.Further considerations should be preceded by the assumption that personal risk factors often affect the level of this risk in various directions, so their final impact is the result of the shaping...
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SEM images of dewetted gold films
Dane BadawczeGold nanostructures were prepared on silicon - Si(111) as a substrate. as a result of dewetting process. Thin golds films were deposited using a table-top dc magnetron sputtering coater under pure Ar plasma conditions . The Au target had 99.99% purity, the rate of Au layer deposition was about 0.4 nm·s−1 and the incident power was 32 W. The thickness...
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Oxidation of silver nanostructures
Dane BadawczeSilver nanostructures were prepared on Si substrate. Thin Ag films (2 and 6 nm thickness) were deposited using a tabletop dc magnetron sputtering coater (EM SCD 500, Leica) in pure Ar plasma. The Ag target was of 99.99% purity, the rate of layer deposition was about 0.4 nm·s−1 , and the incident power was in the range of 30–40 W. The layer thickness...
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Comparison of XPS spectra of Ag3d for silver nanostructures and bulk material
Dane BadawczeAg nanostructures were prepared on borosilicate glass (Corning 1737F) and Si substrates. In both cases, the substrateswere cleaned with acetylacetone and then rinsed in ethanol. Thin Ag films (2 and 6 nm thickness) were deposited using a tabletop dc magnetron sputtering coater (EM SCD 500, Leica) in pure Ar plasma (argon, Air Products 99.999%). The...
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Difficulties in financing innovation - research results
Dane BadawczeThe SME sector determines the strength of the Polish economy, still faces many barriers in running a business, they can be social and market barriers, for example: financial barriers, low employee mobility, or limited access to financing sources: legal barriers that result from economic policy difficult for the sector, or conservative economic policy.
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Rhetoric at school - a selection of the syllabi from the Academic Gymnasium in Gdańsk - transcription and photographs
Dane BadawczeThe following data set comprises a transcription (in txt and docx formats) and photographs (in jpg format) of the selected records from the Latin-language teaching syllabi termed 'Typus' or 'Catalogus lectionum' (an abbreviated title). Rhetoric is the main thematic criterion behind this choice. Various topics related to rhetoric have been taught not...
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Investigation of plasmon resonance in a silver nanoparticles
Dane BadawczeSilver nanostructures were prepared on borosilicate glass (Corning 1737F) substrates. Thin Ag films (1–9 nm thickness) were deposited using a table-top dc magnetron sputtering coater (EM SCD 500, Leica) in pure Ar plasma (argon, Air Products 99.999%). The Ag target was of 99.99% purity, the rate of layer deposition was about 0.4 nm·s−1, and the incident...
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SEM images of tge gold nanostructures on silicon
Dane BadawczeAu nanostructures were prepared on Si(111) as a substrate. The substrates (1 × 1 cm2 of area) were cleaned with acetylacetone and then rinsed in ethanol. Thin Au films (with thicknesses in a range of 1.7–5.0 nm) were deposited using a table-top dc magnetron sputtering coater (EM SCD 500, Leica) under pure Ar plasma conditions (Argon, Air Products 99.999%)....
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Ellipsometric monitoring during the polarization studies of Mg corrosion in alkaline environment
Dane BadawczeThe dataset contains the ellipsometric results from the Mg polarization studies aiming at understanding the Mg(OH)2 passive layer formation mechanism and conditions. The single-wavelength ellipsometer ELX-02C from Dr Riss GmbH was utilized, operating He-Ne laser at 632.8 nm. The polarization conditions for the experiment are depicted in the related...
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Formation of gold anostructures detected by SEM microscope
Dane BadawczeGold nanostructures were prepared on silicon - Si(111) as a substrate. The substrates (1 × 1 cm2 of area) were cleaned with acetylacetone and then rinsed in ethanol. Thin Au films (with thicknesses in a range of 1.7–5.0 nm) were deposited using a table-top dc magnetron sputtering coater (EM SCD 500, Leica) under pure Ar plasma conditions (Argon, Air...
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Microorganisms in the air within the Gdańsk-Szadółki landfill and adjacent area in 2015
Dane BadawczeThis data set contains the results of microbiological examination of air samples collected at Gdańsk Szadółki Landfill (Poland) in 2015. The range of examination included qualitative and quantitative assesment of selected species of bacteria and mold fungi, with particular focus on pathogenic and potentially pathogenic fungi and bacteria. The collected...