131 to 140 of 88,562 Results
Jul 1, 2025 -
ImageAttributionBench-attributor weights
Unknown - 270.0 MB -
MD5: 11d6cba1d71fff288fd594ace725cbc6
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Jul 1, 2025 -
ImageAttributionBench-attributor weights
Unknown - 537.0 MB -
MD5: 957c3e05eb2d9df19169dcd9b3227053
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Jul 1, 2025 -
ImageAttributionBench-attributor weights
Unknown - 537.0 MB -
MD5: f0d5b1deb64ec847d38ceaf1a2073bae
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Jul 1, 2025 -
ImageAttributionBench-attributor weights
Unknown - 537.0 MB -
MD5: 590ac3847111f22c1b8e5f40ca02d7d8
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Jul 1, 2025 -
ImageAttributionBench-attributor weights
Unknown - 537.0 MB -
MD5: b0bbd6f0c6bec580a963a7649abdffb9
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Jun 30, 2025
Blake, Matthew; Brown, David; Chen, Chen; Zhu, Yiqi; Al-Hammadi, Noor; Babulal, Ganesh M., 2025, "Quantifying Cognitive Decline through Driving Behavior: The DRIVES Project's Multidimensional Approach to Aging and ADRD", https://doi.org/10.7910/DVN/KX1BYC, Harvard Dataverse, V1, UNF:6:Q1+F7lYttzYlNqZm9vCM+w== [fileUNF]
The DRIVES Project collects and processes low frequency and high frequency naturalistic driving data in order to study their association with cognitive decline in older drivers. Both sets of data are obtained daily from an off-the-shelf telematics datalogger that is installed our participants' vehicles. The low frequency data is collected at 1 Hz i... |
Jun 30, 2025 -
Quantifying Cognitive Decline through Driving Behavior: The DRIVES Project's Multidimensional Approach to Aging and ADRD
Tabular Data - 387.2 KB - 25 Variables, 1658 Observations - UNF:6:fhNySSy6N0kGhEAhLC7bwg==
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Jun 30, 2025 -
Quantifying Cognitive Decline through Driving Behavior: The DRIVES Project's Multidimensional Approach to Aging and ADRD
Gzip Archive - 1.6 GB -
MD5: 9ad71b4a77f79b043f4458b544a16aa0
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Jun 30, 2025 -
Quantifying Cognitive Decline through Driving Behavior: The DRIVES Project's Multidimensional Approach to Aging and ADRD
Gzip Archive - 1.6 GB -
MD5: b1117dbf783a1e6365db864800192dfe
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Jun 30, 2025 -
Quantifying Cognitive Decline through Driving Behavior: The DRIVES Project's Multidimensional Approach to Aging and ADRD
Gzip Archive - 1.7 GB -
MD5: 3761f26f7b82397f192e863cf31fc2a6
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