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681 to 690 of 1,165 Results
LBR_2024-08-26_22-23-09_chunk0020.bag
Sep 23, 2024 - Multi-Modal Passive Perception Dataset for Off-Road Mobility in Extreme Low-Light Conditions
Unknown - 2.3 GB - MD5: 838632c8954b33078999da4f5ba13c6a
LBR_2024-08-26_22-24-39_chunk0021.bag
Sep 23, 2024 - Multi-Modal Passive Perception Dataset for Off-Road Mobility in Extreme Low-Light Conditions
Unknown - 2.3 GB - MD5: 7c3728ccebc09d5fd387821f33b9812f
LBR_2024-08-26_22-26-09_chunk0022.bag
Sep 23, 2024 - Multi-Modal Passive Perception Dataset for Off-Road Mobility in Extreme Low-Light Conditions
Unknown - 2.3 GB - MD5: 6f5f8487c5bb6e626771e0c7c472a693
LBR_2024-08-26_22-27-39_chunk0023.bag
Sep 23, 2024 - Multi-Modal Passive Perception Dataset for Off-Road Mobility in Extreme Low-Light Conditions
Unknown - 2.5 GB - MD5: 9a1eb2c33693d6841631b4c6212b8c1b
LBR_2024-08-26_22-29-09_chunk0024.bag
Sep 23, 2024 - Multi-Modal Passive Perception Dataset for Off-Road Mobility in Extreme Low-Light Conditions
Unknown - 2.4 GB - MD5: 435996d80b6a4e49cd74e6128ef81ecf
LBR_2024-08-26_22-30-39_chunk0025.bag
Sep 23, 2024 - Multi-Modal Passive Perception Dataset for Off-Road Mobility in Extreme Low-Light Conditions
Unknown - 2.3 GB - MD5: 2e4b1a7050209c370b3559dc2e3450a6
LBR_2024-08-26_22-32-09_chunk0026.bag
Sep 23, 2024 - Multi-Modal Passive Perception Dataset for Off-Road Mobility in Extreme Low-Light Conditions
Unknown - 2.2 GB - MD5: 11b4a18b030a2089a15d3153278d20d9
LBR_2024-08-26_22-33-39_chunk0027.bag
Sep 23, 2024 - Multi-Modal Passive Perception Dataset for Off-Road Mobility in Extreme Low-Light Conditions
Unknown - 2.1 GB - MD5: e8354d01909f52e08f65923cdfc4f45d
LBR_2024-08-26_22-35-09_chunk0028.bag
Sep 23, 2024 - Multi-Modal Passive Perception Dataset for Off-Road Mobility in Extreme Low-Light Conditions
Unknown - 2.3 GB - MD5: b7ce508d0306691acb970c28b29624fa
2019tracts.gpkg
Mar 26, 2024 - Social and Environmental Justice Implications of Flood-Related Road Closures in Virginia
Unknown - 6.4 MB - MD5: b3bc9c3ce754876511f4aaa2bd5cd1d5
Polygons representing all 2019 census tracts with all relevant data referenced in the article, including road closures summarized over census tracts as well as socio-economic variables over these same regions.
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