Filtry
wszystkich: 1792
wybranych: 305
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Katalog
Filtry wybranego katalogu
Wyniki wyszukiwania dla: ACQUIRED BRAIN INJURIES
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Data gathered in the course of therapeutic sessions carried out with patients suffering from acquired brain damages
Dane BadawczeThe dataset contains signals gathered in the course of therapeutic sessions carried out with patients suffering from acquired brain damages. Participants’ actions were monitored with an eye-gaze tracking (EGT) device and with an electroencephalogram EEG monitoring headset.
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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 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 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 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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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 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 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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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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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 - 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 - 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 - 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 - 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 - 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 - 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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Gdańsk University of Technology graduates’ assessment of the acquired knowledge as the basis for professional work – years 2011-2013
Dane BadawczeThe dataset includes data from the survey on the Gdańsk University of Technology graduates' from the years 2011-2013 on their assessment of the acquired knowledge as the basis for professional work. The survey was conducted in the period from 2013 to 2015, two years after the respondents obtained graduate status. The research sample included 3021 respondents....
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Gdańsk University of Technology graduates’ assessment of the acquired knowledge as the basis for professional work – years 2015-2016
Dane BadawczeThe dataset includes data from the survey on the Gdańsk University of Technology graduates' from the years 2015-2016 on their assessment of the acquired knowledge as the basis for professional work. The survey was conducted in the period from 2017 to 2018, two years after the respondents obtained graduate status. The research sample included 4500 respondents....
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Gdańsk University of Technology graduates’ assessment of the acquired knowledge as the basis for professional work – years 2017-2018
Dane BadawczeThe dataset includes data from the survey on the Gdańsk University of Technology graduates' from the years 2017-2018 on their assessment of the acquired knowledge as the basis for professional work. The survey was conducted in the period from 2018 to 2020, two years after the respondents obtained graduate status. The research sample included 2909 respondents....
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Gdańsk University of Technology graduates’ assessment of acquired skills and competencies for professional work – years 2011-2013
Dane BadawczeThe dataset includes data from the survey on the Gdańsk University of Technology graduates' from the years 2011-2013 on their assessment of acquired skills and competencies for professional work. The survey was conducted in the period from 2013 to 2015, two years after the respondents obtained graduate status. The research sample included 3021 respondents....
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Gdańsk University of Technology graduates’ assessment of acquired skills and competencies for professional work – years 2017-2018
Dane BadawczeThe dataset includes data from the survey on the Gdańsk University of Technology graduates' from the years 2017-2018 on their assessment of acquired skills and competencies for professional work. The survey was conducted in the period from 2018 to 2020, two years after the respondents obtained graduate status. The research sample included 2909 respondents....
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Gdańsk University of Technology graduates’ assessment of acquired skills and competencies for professional work – years 2015-2016
Dane BadawczeThe dataset includes data from the survey on the Gdańsk University of Technology graduates' from the years 2015-2016 on their assessment of acquired skills and competencies for professional work. The survey was conducted in the period from 2017 to 2018, two years after the respondents obtained graduate status. The research sample included 4500 respondents....
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Invasive electrophysiological patient recordings from the human brain during memory tasks with pupilometry (MC_004)
Dane BadawczeData comprise intracranial EEG (iEEG) brain activity, including electrocorticography (ECoG) signals, recorded from over 100 electrodes implanted in one patient throughout various brain regions. These iEEG signals were recorded in epilepsy patients undergoing invasive monitoring and localization of seizures when they were performing a battery of four...
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Invasive electrophysiological patient recordings from the human brain during memory tasks with pupilometry (MC_005)
Dane BadawczeData comprise intracranial EEG (iEEG) brain activity, including electrocorticography (ECoG) signals, recorded from over 100 electrodes implanted in one patient throughout various brain regions. These iEEG signals were recorded in epilepsy patients undergoing invasive monitoring and localization of seizures when they were performing a battery of four...
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Invasive electrophysiological patient recordings from the human brain during memory tasks with pupilometry (MC_002)
Dane BadawczeData comprise intracranial EEG (iEEG) brain activity, including electrocorticography (ECoG) signals, recorded from over 100 electrodes implanted in one patient throughout various brain regions. These iEEG signals were recorded in epilepsy patients undergoing invasive monitoring and localization of seizures when they were performing a battery of four...
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Invasive electrophysiological patient recordings from the human brain during memory tasks with pupilometry (MC_003)
Dane BadawczeData comprise intracranial EEG (iEEG) brain activity, including electrocorticography (ECoG) signals, recorded from over 100 electrodes implanted in one patient throughout various brain regions. These iEEG signals were recorded in epilepsy patients undergoing invasive monitoring and localization of seizures when they were performing a battery of four...
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Invasive electrophysiological patient recordings from the human brain during memory tasks with pupilometry (MC_006)
Dane BadawczeData comprise intracranial EEG (iEEG) brain activity, including electrocorticography (ECoG) signals, recorded from over 100 electrodes implanted in one patient throughout various brain regions. These iEEG signals were recorded in epilepsy patients undergoing invasive monitoring and localization of seizures when they were performing a battery of four...
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Invasive electrophysiological patient recordings from the human brain during memory tasks with pupilometry (MC_0010)
Dane BadawczeData comprise intracranial EEG (iEEG) brain activity, including electrocorticography (ECoG) signals, recorded from over 100 electrodes implanted in one patient throughout various brain regions. These iEEG signals were recorded in epilepsy patients undergoing invasive monitoring and localization of seizures when they were performing a battery of four...
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Invasive electrophysiological patient recordings from the human brain during memory tasks with pupilometry (MC_0012)
Dane BadawczeData comprise intracranial EEG (iEEG) brain activity, including electrocorticography (ECoG) signals, recorded from over 100 electrodes implanted in one patient throughout various brain regions. These iEEG signals were recorded in epilepsy patients undergoing invasive monitoring and localization of seizures when they were performing a battery of four...
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Invasive electrophysiological patient recordings from the human brain during memory tasks with pupilometry (MC_008)
Dane BadawczeData comprise intracranial EEG (iEEG) brain activity, including electrocorticography (ECoG) signals, recorded from over 100 electrodes implanted in one patient throughout various brain regions. These iEEG signals were recorded in epilepsy patients undergoing invasive monitoring and localization of seizures when they were performing a battery of four...
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Invasive electrophysiological patient recordings from the human brain during memory tasks with pupilometry (MC_007)
Dane BadawczeData comprise intracranial EEG (iEEG) brain activity, including electrocorticography (ECoG) signals, recorded from over 100 electrodes implanted in one patient throughout various brain regions. These iEEG signals were recorded in epilepsy patients undergoing invasive monitoring and localization of seizures when they were performing a battery of four...
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Invasive electrophysiological patient recordings from the human brain during memory tasks with pupilometry (MC_0011)
Dane BadawczeData comprise intracranial EEG (iEEG) brain activity, including electrocorticography (ECoG) signals, recorded from over 100 electrodes implanted in one patient throughout various brain regions. These iEEG signals were recorded in epilepsy patients undergoing invasive monitoring and localization of seizures when they were performing a battery of four...
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Invasive electrophysiological patient recordings from the human brain during memory tasks with pupilometry (MC_009)
Dane BadawczeData comprise intracranial EEG (iEEG) brain activity, including electrocorticography (ECoG) signals, recorded from over 100 electrodes implanted in one patient throughout various brain regions. These iEEG signals were recorded in epilepsy patients undergoing invasive monitoring and localization of seizures when they were performing a battery of four...
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Invasive electrophysiological patient recordings from the human brain during memory tasks with pupilometry (MC_0017)
Dane BadawczeData comprise intracranial EEG (iEEG) brain activity, including electrocorticography (ECoG) signals, recorded from over 100 electrodes implanted in one patient throughout various brain regions. These iEEG signals were recorded in epilepsy patients undergoing invasive monitoring and localization of seizures when they were performing a battery of four...