This file contains a list of all recordings available through files distributed on the GitHub page of the Brno Urban Dataset. In the first column, there is a recording id with a link directly to its .torrent file. The next three columns contain tags from each mandatory category and the last two cover distance travelled and total duration.
Unfortunately, due to security reasons GitHub markdown language does not support table sorting by default. For best experience with the table below, we suggenst instalation of the "GitHub sort content" user script from GitHub userscripts repositiory, which makes this functionality available.
| Recording | Environment | Daytime | Weather | Distance [km] | Duration [h:mm] |
|---|---|---|---|---|---|
| 1_1_2_1 | city | noon | sunny | 1.3 | 0:02 |
| 1_2_6_1 | suburb | afternoon | partly-cloudy | 0.2 | 0:02 |
| 1_2_5_2 | country | noon | partly-cloudy | 7.2 | 0:11 |
| 1_2_1_3 | city | morning | partly-cloudy | 3.4 | 0:08 |
| 1_2_4_1 | highway | noon | sunny | 8.8 | 0:16 |
| 1_2_3_1 | suburb | noon | sunny | 0.2 | 0:01 |
| 1_1_2_6 | suburb | noon | sunny | 2.7 | 0:05 |
| 1_1_7_1 | suburb | afternoon | sunny | 2.8 | 0:06 |
| 1_1_2_5 | city | noon | sunny | 1.0 | 0:03 |
| 1_2_4_3 | city | noon | sunny | 10.4 | 0:21 |
| 1_1_5_2 | city | afternoon | sunny | 0.1 | 0:00 |
| 1_2_7_1 | suburb | afternoon | sunny | 0.3 | 0:02 |
| 1_2_5_3 | country | noon | sunny | 14.2 | 0:19 |
| 1_1_2_3 | city | noon | sunny | 1.1 | 0:03 |
| 1_2_1_8 | city | morning | partly-cloudy | 2.2 | 0:05 |
| 1_2_1_4 | city | morning | partly-cloudy | 0.5 | 0:02 |
| 1_2_1_2 | city | morning | partly-cloudy | 1.6 | 0:03 |
| 1_1_6_2 | suburb | afternoon | sunny | 5.6 | 0:11 |
| 1_1_6_1 | city | afternoon | sunny | 1.5 | 0:04 |
| 1_2_5_1 | country | noon | sunny | 5.8 | 0:15 |
| 1_2_1_11 | highway | morning | partly-cloudy | 2.7 | 0:08 |
| 1_2_1_9 | city | morning | partly-cloudy | 3.4 | 0:07 |
| 1_2_1_1 | suburb | morning | partly-cloudy | 1.6 | 0:03 |
| 1_2_1_6 | city | morning | partly-cloudy | 1.8 | 0:04 |
| 1_2_1_7 | city | morning | partly-cloudy | 2.3 | 0:06 |
| 1_1_1_2 | suburb | noon | sunny | 1.0 | 0:04 |
| 1_1_3_1 | suburb | afternoon | partly-cloudy | 2.2 | 0:04 |
| 1_1_1_1 | suburb | noon | sunny | 1.1 | 0:02 |
| 1_1_2_4 | city | noon | sunny | 1.2 | 0:02 |
| 1_1_4_1 | suburb | afternoon | sunny | 1.5 | 0:04 |
| 1_1_4_3 | city | afternoon | sunny | 1.9 | 0:03 |
| 1_2_4_2 | city | noon | sunny | 2.9 | 0:08 |
| 1_1_2_2 | city | noon | sunny | 0.9 | 0:01 |
| 1_2_1_5 | city | morning | partly-cloudy | 1.4 | 0:02 |
| 1_1_5_1 | city | afternoon | sunny | 1.7 | 0:03 |
| 1_2_1_10 | city | morning | partly-cloudy | 1.9 | 0:06 |
| 1_2_2_1 | suburb | noon | sunny | 0.2 | 0:02 |
| 1_1_4_2 | city | afternoon | sunny | 1.3 | 0:03 |
| 2_1_5_1 | city | afternoon | sunny | 5.9 | 0:13 |
| 2_1_7_1 | city | afternoon | partly-cloudy | 8.4 | 0:18 |
| 2_1_10_1 | city | evening | partly-cloudy | 8.6 | 0:19 |
| 2_1_2_1 | suburb | noon | sunny | 2.5 | 0:04 |
| 2_1_4_1 | city | noon | sunny | 6.0 | 0:12 |
| 2_2_1_3 | country | morning | sunny | 7.9 | 0:12 |
| 2_1_2_3 | suburb | noon | sunny | 1.6 | 0:03 |
| 2_1_7_2 | suburb | afternoon | partly-cloudy | 7.5 | 0:21 |
| 2_1_7_3 | city | afternoon | partly-cloudy | 7.0 | 0:15 |
| 2_1_8_3 | city | afternoon | partly-cloudy | 11.2 | 0:21 |
| 2_2_1_4 | country | morning | sunny | 8.3 | 0:10 |
| 2_2_5_1 | suburb | afternoon | sunny | 7.0 | 0:16 |
| 2_2_1_1 | city | morning | sunny | 16.4 | 0:19 |
| 2_2_1_2 | country | morning | sunny | 4.7 | 0:06 |
| 2_1_10_2 | city | evening | partly-cloudy | 5.1 | 0:14 |
| 2_1_5_2 | city | afternoon | sunny | 4.9 | 0:16 |
| 2_2_2_1 | city | noon | sunny | 5.5 | 0:07 |
| 2_1_8_1 | city | afternoon | partly-cloudy | 8.1 | 0:16 |
| 2_1_9_1 | city | evening | partly-cloudy | 15.4 | 0:23 |
| 2_1_10_3 | city | evening | partly-cloudy | 8.8 | 0:17 |
| 2_1_5_3 | city | afternoon | sunny | 4.9 | 0:12 |
| 2_1_2_2 | suburb | noon | sunny | 9.2 | 0:18 |
| 2_1_1_1 | suburb | noon | sunny | 1.0 | 0:02 |
| 2_1_9_2 | suburb | evening | partly-cloudy | 5.7 | 0:10 |
| 2_2_4_1 | highway | noon | sunny | 31.3 | 0:20 |
| 2_2_3_1 | highway | noon | sunny | 31.9 | 0:23 |
| 2_1_3_1 | suburb | noon | sunny | 4.7 | 0:10 |
| 2_1_8_2 | suburb | afternoon | partly-cloudy | 12.4 | 0:16 |
| 3_1_1_1 | suburb | noon | cloudy | 8.2 | 0:17 |
| 3_1_1_2 | city | noon | cloudy | 13.5 | 0:30 |
| 3_1_2_1 | country | noon | cloudy | 6.8 | 0:15 |
| 3_1_2_2 | country | noon | cloudy | 21.3 | 0:31 |
| 3_1_3_1 | suburb | afternoon | cloudy | 1.4 | 0:03 |
| 3_1_3_2 | suburb | afternoon | cloudy | 8.9 | 0:20 |
| 3_1_3_3 | suburb | afternoon | cloudy | 1.5 | 0:03 |
| 3_1_3_4 | suburb | afternoon | cloudy | 4.7 | 0:11 |
| 3_1_3_5 | suburb | afternoon | cloudy | 3.3 | 0:07 |
| 3_1_4_1 | suburb | evening | rain | 2.8 | 0:07 |
| 3_1_4_2 | suburb | evening | rain | 2.4 | 0:06 |
| 3_1_4_3 | country | evening | rain | 4.7 | 0:07 |
| 3_1_4_4 | suburb | evening | rain | 8.7 | 0:12 |