Downloads provided by UsageCounts
Water depth level in mm from a sensor mounted mounted above the Gowanus Canal, Brooklyn, NY (40.674490, -73.994458). The sensor is designed to detect flood water that fills the street and blocks vehicle and pedestrian traffic, as well as depositing micro-organisms on the street. This one is used for data validation. The sensor transmits its data via LoRaWAN and is equipped with a solar panel for continuous operation. Data is collected at ~5min intervals. Time fields are in local time (New York). Time fields are in local time (New York). Date format is: 2020-10-04 20:11:45.742594232-04:00 Two flood events have been observed in this dataset between these date ranges: "2020-11-15 19:37:00.000000000-05:00" to "2020-11-16 00:30:00.000000000-05:00" "2020-11-30 10:20:00.000000000-05:00" to "2020-11-30 13:30:00.000000000-05:00" One type of erroneous data has been observed: There are ~1% rises in distance measures on days with sun which suggests that the distance sensor is affected by direct sunlight This data is prelimary and is for prototyping purposes. Not to be used as a reliable data source as it is. This dataset will be updated when more data is collected. Please see our github org for sensor information and build instructions: github.com/floodsense
github.com/floodsense
ultrasonic, depth, water depth, water level, flood, street level, urban
ultrasonic, depth, water depth, water level, flood, street level, urban
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 13 | |
| downloads | 6 |

Views provided by UsageCounts
Downloads provided by UsageCounts