Government
20 columns
150 rows
8 formats

Municipal Air Sensor Readings Log

This dataset contains granular air quality measurements from municipal IoT sensors, including pollutant concentrations, environmental conditions, and sensor metadata. Designed for smart city analytics, it enables urban planners and IT teams to monitor pollution trends, detect anomalies, and support ESG reporting for healthier communities.

last updated 1 Feb 2026
by GoMask

The brief that made it

Urban pollution trend analysis and hotspot mapping

Sample rows

preview · 8 of 150 rows · all 20 columns

reading_idstring	sensor_typestring	valuefloat	is_anomalyboolean	location_statestring	sensor_idstring	reading_datetimedatetime	unitstring	location_latitudefloat	location_longitudefloat	location_street_addressstring	location_citystring	location_postal_codestring	location_countrystring	sensor_statusstring	calibration_datedate	temperature_celsiusfloat	humidity_percentfloat	data_sourcestring	notesstring
RD-0001A	PM2.5	13.5	false	CA	SENS-101	2024-05-01T07:30:00Z	µg/m³	34.0522	-118.2437	1200 N Main St	Los Angeles	90012	USA	active	2024-03-20	18.1	42	EnviroSys	blank
RD-0002B	PM10	18.9	false	NY	SENS-102	2024-05-01T07:45:00Z	µg/m³	40.7127	-74.0059	233 Broadway	New York	10007	USA	active	2024-04-02	16.7	38.4	EnviroSys	blank
RD-0003C	NO2	0.042	false	blank	SENS-103	2024-05-01T08:00:00Z	ppm	51.5074	-0.1278	10 Downing St	London	SW1A2AA	UK	active	2024-02-22	14.4	62.3	BritSensors	blank
RD-0004D	CO2	750	false	blank	SENS-104	2024-05-01T08:15:00Z	ppm	35.6895	139.6917	3 Chome-1-1 Marunouchi	Tokyo	100-0005	Japan	active	2024-03-01	21.5	53	JPN-Sensors	blank
RD-0005E	O3	0.03	false	NSW	SENS-105	2024-05-01T08:30:00Z	ppm	-33.8688	151.2093	1 Macquarie St	Sydney	2000	Australia	active	2024-02-15	26.1	48.5	AUS-Air	blank
RD-0006F	SO2	0.1	false	blank	SENS-106	2024-05-01T08:45:00Z	ppm	48.8566	2.3522	5 Rue de Rivoli	Paris	75001	France	active	2024-03-10	13	57.2	FrAirTech	blank
RD-0007G	CO	0.7	false	blank	SENS-107	2024-05-01T09:00:00Z	ppm	55.7558	37.6173	1 Red Square	Moscow	101000	Russia	active	2024-04-01	9	70.3	RusCleanAir	blank
RD-0008H	Other	3.6	false	blank	SENS-108	2024-05-01T09:15:00Z	mg/m³	19.4326	-99.1332	Av. Paseo de la Reforma 1	Mexico City	06500	Mexico	active	2024-03-12	22.5	46	LatinoAir	blank
RD-0009I	PM2.5	95.9	false	blank	SENS-109	2024-05-01T09:30:00Z	µg/m³	35.6762	139.6503	2-4-1 Nihonbashi	Tokyo	103-0027	Japan	active	2024-04-28	20.8	51.7	JPN-Sensors	blank
RD-0010J	PM10	0	true	blank	SENS-110	2024-05-01T09:45:00Z	µg/m³	52.52	13.405	Pariser Platz 1	Berlin	10117	Germany	active	2024-03-29	15.2	49.8	AirQ	Zero PM10 detected; sensor possible calibration drift.
RD-0011K	NO2	0.001	false	blank	SENS-111	2024-05-01T10:00:00Z	ppb	28.6139	77.209	Rajpath	Delhi	110001	India	active	2024-03-25	32.4	34.7	IndiAir	blank
RD-0012L	CO2	1350	false	SP	SENS-112	2024-05-01T10:15:00Z	ppm	-23.5505	-46.6333	Av. Paulista 1578	São Paulo	01310-200	Brazil	active	2024-04-10	27	68	BrAirNet	blank
RD-0013M	O3	0	true	blank	SENS-113	2024-05-01T10:30:00Z	mg/m³	59.3293	18.0686	Stortorget 2	Stockholm	11129	Sweden	active	2024-03-06	9.4	71.2	NordicSensors	Ozone sensor returned zero; possible blocked intake.
RD-0014N	SO2	0.0001	false	blank	SENS-114	2024-05-01T10:45:00Z	ppb	60.1699	24.9384	Mannerheimintie 12	Helsinki	00100	Finland	active	2024-03-02	5.3	82.1	FinnAir	blank
RD-0015O	CO	9.99	false	blank	SENS-115	2024-05-01T11:00:00Z	Other	25.2048	55.2708	Sheikh Zayed Rd	Dubai	blank	UAE	active	2024-04-05	42.1	18.8	MEAir	blank
RD-0016P	Other	99999.9	true	blank	SENS-116	2024-05-01T11:15:00Z	ppb	-90	0	blank	Antarctica	blank	Antarctica	active	2024-01-15	-49.9	10.5	PolarNet	Boundary value anomaly: sensor at south pole.
RD-0017Q	PM2.5	250	true	IL	SENS-117	2024-05-01T11:30:00Z	µg/m³	41.8781	-87.6298	233 S Wacker Dr	Chicago	60606	USA	active	2024-04-18	15.8	44.2	EnviroSys	High PM2.5 event; possible wildfire smoke.
RD-0018R	PM10	180.2	true	blank	SENS-118	2024-05-01T11:45:00Z	µg/m³	40.4168	-3.7038	Plaza Mayor 1	Madrid	28012	Spain	active	2024-04-01	19.4	36.6	AirQ	High PM10 detected after construction activities.
RD-0019S	NO2	0.098	false	CA	SENS-101	2024-05-01T12:00:00Z	mg/m³	34.0522	-118.2437	1200 N Main St	Los Angeles	90012	USA	active	2024-04-20	19.2	41.5	EnviroSys	blank
RD-0020T	SO2	5	false	blank	SENS-119	2024-05-01T12:15:00Z	mg/m³	45.4642	9.19	Piazza del Duomo	Milan	20122	Italy	active	2024-03-09	16.5	68.9	EnviroSys	blank

What the 150 rows show

from the 150-row sample

Other (sensor type) stands out: mean value is 22,426, against 120.9 for the rest.

25%is_anomaly = true
4.0median value
4sensor statuses
5units
18data sources
32location countries

Mean value by sensor_type150 rows

value150 rows, in bands of 10k

Median 4.0, from 0.0 to 100,000.

location_state42 rows with a value · 108 left blank

CA9
NY5
IL4
NC4
NSW3
ON3
SP2
BA2
FL2
AZ1

20 columns by typefrom the column list below

string 12
float 5
date 1
datetime 1
boolean 1

Columns

20 columns in four groups

blueprint · 20 columns
column	type	description	example
Text 12 columns
`reading_id`	string	Unique identifier for each air sensor reading recordunique	RD-0001A
`sensor_id`	string	Unique identifier for the IoT sensor device	SENS-101
`sensor_type`	string	Type of sensor (e.g., PM2.5, NO2, CO2, Ozone)8 values	PM2.5
`unit`	string	Unit of measurement for the sensor value (e.g., µg/m³, ppm)µg/m³ · ppm · ppb · mg/m³ · Other	µg/m³
`location_street_address`	string	Street address of the sensor's locationoptional	1200 N Main St
`location_city`	string	City where the sensor is located	Los Angeles
`location_state`	string	State or province where the sensor is locatedoptional	CA
`location_postal_code`	string	Postal code of the sensor's locationoptional	90012
`location_country`	string	Country where the sensor is located	USA
`sensor_status`	string	Operational status of the sensor at the time of readingactive · inactive · maintenance · error	active
`data_source`	string	Source system or vendor of the sensor dataoptional	EnviroSys
`notes`	string	Additional notes or comments about the readingoptional	Boundary latitude value
Numbers 5 columns
`value`	float	Measured value from the sensor (e.g., micrograms/m³, ppm)0 or more	13.5
`location_latitude`	float	Latitude of the sensor's location-90 to 90	34.0522
`location_longitude`	float	Longitude of the sensor's location-180 to 180	-118.2437
`temperature_celsius`	float	Ambient temperature at the sensor location (in Celsius)-50 to 60 · optional	18.1
`humidity_percent`	float	Ambient relative humidity at the sensor location (percentage)0 to 100 · optional	42
Dates and times 2 columns
`reading_datetime`	datetime	Timestamp when the sensor reading was taken (UTC)	2024-05-01T07:30:00Z
`calibration_date`	date	Date when the sensor was last calibratedoptional	2024-03-20
True or false 1 column
`is_anomaly`	boolean	Flag indicating if the reading is detected as an anomalyoptional	false

Use it for

A government dashboard
The is_anomaly rate, value by sensor_type and a breakdown of location_state. Excel, Power BI or Tableau.
Why do the 18 Other rows have a mean value of 22,426?
A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
Readings150
RD-0001A13.5PM2.5
RD-0010J0PM10
RD-0013M0O3
A software demo
Believable readings with sensor_id, sensor_type and reading_datetime to fill a screen in front of a buyer.

This dataset150 rows20 columns

Yours10,000 rows20 columnslocation_latitude: UK only

blueprint · municipal-air-sensor-readings-log

Behind this dataset

Same schema. As many rows as you need.

These 150 rows came out of a blueprint — 20 columns with generation rules behind each one. Open it in Data Factory to retune a column, add your own, wire in foreign keys, and run it at the size you actually need.

Rules it was built with

Each row records readings from a unique sensor location and timestamp.
Pollutant levels (PM2.5, NO2, O3, CO) are captured in standardized units.
Sensor status includes operational flags and error notifications.
Weather factors (temperature, humidity) are logged for context.
Data must include maintenance events when sensors are serviced.

Rows1,000 rows10,000 rows100,000 rows1,000,000 rows

Open the blueprint in Data Factory

1 credit per row. New accounts start with 25 free credits.

Exports: CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence: yours to use, including commercially
API slug: municipal-air-sensor-readings-log

What should your data show?

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Sample rows

What the 150 rows show

Columns

Use it for

A government dashboard

A root-cause class exercise

A software demo

Make it yours.

Same schema. As many rows as you need.

More in Government

What should your data show?