Hyperlocal Temperature Monitoring

qdq3-9eqnuncategorised10 columns

As a part of the Cool Neighborhoods Initiative, the NYC Parks Department, Mayor’s Office of Resilience and NYC Department of Health and Mental Hygiene monitored street level temperature on a subset of city blocks in some of the neighborhoods with highest heat mortality risk during the summers of 2018 and 2019. The dataset includes hourly average values at approximately 475 locations in degrees Fahrenheit.

View on NYC Open Data

Quality

A91.7 / 100

From a 500-row sample across 10 columns.

completeness100/ 25% weight

consistency70/ 20% weight

accuracy100/ 20% weight

timeliness84/ 15% weight

usability100/ 20% weight

· Has coordinates — directly mappable, and joinable to other NYC datasets

Related datasets

Geography

Mappable — coordinate pair `latitude` / `longitude`.

Open on the map →

Sample rows

sensor_id	airtemp	day	hour	latitude	longitude	year	install_type	borough	ntacode
Bk-BR_01	71.189	2018-06-15T00:00:00.000	1	40.66620508	-73.91691035	2018	Street Tree	Brooklyn	BK81
Bk-BR_01	70.24333333	2018-06-15T00:00:00.000	2	40.66620508	-73.91691035

Columns

10 queryable · 10 profiled

The machine field names SoQL needs, with the publisher's own description of each.

Field	Type	Description	Null	Values
`sensor_id`	text	unique identifier of sensor	0%	`Bk-EN_06M-CH_01M-CH_03`
`airtemp`	float	average hourly air temperature, Fahrenheit	1%	`73.5873.47272.545`
`day`	datetime	Date	0%	`2018-06-16T00:00:00.0002018-06-17T00:00:00.0002018-06-18T00:00:00.000`
`hour`	integer	Hour of day	0%	`1912`
`latitude`

Query this from your own app

GET /api/datasets/qdq3-9eqn
GET /api/datasets/qdq3-9eqn/quality
GET /api/datasets/qdq3-9eqn/related
GET /api/columns?dataset=qdq3-9eqn