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MedTrak Systems Inc
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Becton Dickinson
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Autonavi Software Co Ltd
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MapQuest Inc
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ConocoPhillips Alaska
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Trimble Navigation
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SuperDimension Inc
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Trimble Navigation
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UNAVCO Inc
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Autonavi Software Co Ltd
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Image Search Results
Journal: Scientific Data
Article Title: The International Bathymetric Chart of the Arctic Ocean Version 4.0
doi: 10.1038/s41597-020-0520-9
Figure Lengend Snippet: The source data used in the IBCAO Ver. 4.0 compilation classified into data types (TID; Type Identification). In the calculated statistics of mapped area, types 13, 14 and 17 are included in type 10 whereas 41 and 72 are counted as no data.
Article Snippet:
Techniques: Derivative Assay, Isolation
Journal: Scientific Data
Article Title: The International Bathymetric Chart of the Arctic Ocean Version 4.0
doi: 10.1038/s41597-020-0520-9
Figure Lengend Snippet: Major sources used in the compilation of IBCAO Ver. 4.0. Published peer-review articles and cruise reports linked to the data sources are listed where available in our metadata records. Bathymetric data that have been contributed without metadata are not listed, although used in the compilation where no other data are available.
Article Snippet:
Techniques: Western Blot, Produced, Imaging, Data-independent acquisition
Journal: Sensors (Basel, Switzerland)
Article Title: A Real-Time Recognition System of Driving Propensity Based on AutoNavi Navigation Data
doi: 10.3390/s22134883
Figure Lengend Snippet: Intermediate variables of travel time acquisition algorithm.
Article Snippet: It is necessary to conduct in-depth research on driving propensity identification based on
Techniques:
Journal: Sensors (Basel, Switzerland)
Article Title: A Real-Time Recognition System of Driving Propensity Based on AutoNavi Navigation Data
doi: 10.3390/s22134883
Figure Lengend Snippet: Intermediate variables of average and maximum velocity acquisition algorithm.
Article Snippet: It is necessary to conduct in-depth research on driving propensity identification based on
Techniques:
Journal: Sensors (Basel, Switzerland)
Article Title: A Real-Time Recognition System of Driving Propensity Based on AutoNavi Navigation Data
doi: 10.3390/s22134883
Figure Lengend Snippet: Number of rapid acceleration and rapid deceleration times and duration of normal acceleration and normal deceleration to obtain the intermediate variables of the algorithm.
Article Snippet: It is necessary to conduct in-depth research on driving propensity identification based on
Techniques: