Telecommunications
20 columns
120 rows
8 formats

Urban Pollution IoT Sensor Logs

This dataset provides granular, real-time logs from IoT sensors monitoring urban pollution across a smart city, including pollutant measurements, sensor health, network connectivity, and precise geolocation. It enables advanced analytics for environmental health, infrastructure optimization, and predictive maintenance, supporting data-driven decision-making for urban planners and telecom administrators.

last updated 24 Nov 2025
by GoMask

The brief that made it

Analyzing pollution patterns and hotspots in urban environments

Sample rows

preview · 8 of 120 rows · all 20 columns

log_idstring	network_statusstring	battery_levelfloat	is_faultyboolean	address_statestring	sensor_idstring	sensor_typestring	timestampdatetime	pollutant_typestring	pollutant_valuefloat	unitstring	latitudefloat	longitudefloat	address_streetstring	address_citystring	address_postal_codestring	address_countrystring	signal_strengthfloat	maintenance_requiredboolean	remarksstring
F8Q9R2-0001	online	92	false	CA	SN-104	PM2.5	2024-05-31T00:15:00Z	PM2.5	38.5	µg/m3	37.7749	-122.4194	101 Market St	San Francisco	94105	USA	-56	false	Routine morning check
L0U3E7-0002	online	80	false	blank	SN-203	NO2	2024-05-31T01:30:00Z	NO2	81.2	ppm	51.5074	-0.1278	10 Downing St	London	SW1A 2AA	UK	-67	false	blank
Z2K0B1-0003	online	64	false	blank	SN-309	Temperature	2024-05-31T02:00:00Z	Ozone	2.88	ppm	48.8566	2.3522	12 Rue de Rivoli	Paris	75001	France	-45	false	Traffic spike
S1D8T3-0004	intermittent	15	false	CA	SN-104	PM2.5	2024-05-31T03:45:00Z	PM2.5	163.1	µg/m3	37.7749	-122.4194	101 Market St	San Francisco	94105	USA	-101	true	Battery low, high PM2.5
T9J6Q1-0005	intermittent	19	false	DL	SN-007	Humidity	2024-05-31T04:10:00Z	NO2	34.8	ppm	28.6139	77.209	Connaught Place	Delhi	110001	India	-108	true	Network unstable
C6N7W4-0006	online	61	false	CA	SN-311	CO2	2024-05-31T05:35:00Z	CO2	7421.2	ppm	34.0522	-118.2437	700 S Flower St	Los Angeles	90017	USA	-82	true	CO2 above threshold
V2X9A3-0007	online	88	false	blank	SN-205	Ozone	2024-05-31T06:20:00Z	Ozone	0.009	ppm	35.6895	139.6917	1 Chome-1 Shibuya	Tokyo	150-0002	Japan	-72	false	blank
N8Y5M2-0008	online	96	false	blank	SN-214	Humidity	2024-05-31T07:00:00Z	NO2	0.037	ppm	55.7558	37.6176	Red Square	Moscow	101000	Russia	-54	false	blank
U5H4K6-0009	intermittent	2	false	blank	SN-002	PM2.5	2024-05-31T07:30:00Z	PM2.5	250.5	µg/m3	19.4326	-99.1332	Paseo de la Reforma	Mexico City	06600	Mexico	-115	true	Extreme PM2.5, battery critical
M2R6D1-0010	online	77	false	blank	SN-156	Temperature	2024-05-31T08:00:00Z	NO2	120	ppm	41.9028	12.4964	Via del Corso	Rome	00186	Italy	-39	false	Morning rush hour
Q4B7V5-0011	online	86	false	blank	SN-102	Humidity	2024-05-31T09:20:00Z	Ozone	0	ppm	1.3521	103.8198	Orchard Rd	Singapore	238859	Singapore	-58	false	blank
W3T2L9-0012	intermittent	16	false	blank	SN-411	CO2	2024-05-31T10:05:00Z	CO2	1348.7	ppm	52.52	13.405	Alexanderplatz	Berlin	10178	Germany	-105	true	Battery low
D6F0N8-0013	online	93	false	blank	SN-302	NO2	2024-05-31T11:00:00Z	NO2	0.001	ppm	39.9042	116.4074	Chang'an Ave	Beijing	100006	China	-51	false	Clear morning
P7S4C2-0014	intermittent	1	false	blank	SN-002	PM2.5	2024-05-31T12:00:00Z	Ozone	3.321	ppm	19.4326	-99.1332	Paseo de la Reforma	Mexico City	06600	Mexico	-120	true	Ozone spike, battery empty
E8M3H5-0015	intermittent	11	false	blank	SN-501	Humidity	2024-05-31T12:30:00Z	NO2	55.6	ppm	-23.5505	-46.6333	Avenida Paulista	São Paulo	01311-000	Brazil	-113	true	Battery low
A5J1V8-0016	online	84	false	blank	SN-203	NO2	2024-05-31T13:00:00Z	NO2	112.4	ppm	51.5074	-0.1278	10 Downing St	London	SW1A 2AA	UK	-59	false	blank
R9X8T5-0017	intermittent	13	false	blank	SN-403	Humidity	2024-05-31T13:45:00Z	NO2	119.5	ppm	25.276987	55.296249	Sheikh Zayed Rd	Dubai	00000	UAE	-109	true	NO2 spike
J4K7L2-0018	online	100	true	NSW	SN-321	Temperature	2024-05-31T14:00:00Z	CO2	9999.9	ppm	-33.8688	151.2093	George St	Sydney	2000	Australia	-44	true	Sensor calibration test
K2S5E4-0019	online	97	false	NY	SN-215	Ozone	2024-05-31T14:25:00Z	Ozone	1.43	ppm	40.7128	-74.006	Broadway	New York	10007	USA	-35	false	blank
X0V1Y7-0020	online	70	false	ON	SN-453	NO2	2024-05-31T15:15:00Z	NO2	11.7	ppm	43.6532	-79.3832	Queen St W	Toronto	M5V	Canada	-50	false	blank

What the 120 rows show

from the 120-row sample

Online (network status) stands out: mean battery_level is 79.7, against 8.6 for the rest.

7%is_faulty = true
71.1median battery_level
2units
4pollutant types
6sensor types
27address countries

Mean battery_level by network_status120 rows

battery_level120 rows, in bands of 10

Median 71.1, from 0.0 to 100.0.

address_state32 rows with a value · 88 left blank

CA9
NY7
ON4
DL2
NSW2
BC2
FL1
AK1
IL1
TN1

20 columns by typefrom the column list below

string 12
float 5
datetime 1
boolean 2

Columns

20 columns in four groups

blueprint · 20 columns
column	type	description	example
Text 12 columns
`log_id`	string	Unique identifier for each sensor log entryunique	F8Q9R2-0001
`sensor_id`	string	Unique identifier for the IoT sensor device	SN-104
`sensor_type`	string	Type of sensor (e.g., PM2.5, NO2, CO2, Ozone, Temperature, Humidity)6 values	PM2.5
`pollutant_type`	string	Type of pollutant measured (e.g., PM2.5, NO2, CO2, Ozone)PM2.5 · NO2 · CO2 · Ozone	PM2.5
`unit`	string	Unit of measurement for pollutant value (e.g., µg/m3, ppm, °C, %RH)µg/m3 · ppm · °C · %RH	µg/m3
`address_street`	string	Street address of the sensor locationoptional	101 Market St
`address_city`	string	City where the sensor is deployed	San Francisco
`address_state`	string	State or region of the sensor location12 states · optional	CA
`address_postal_code`	string	Postal code of the sensor locationoptional	94105
`address_country`	string	Country of the sensor location	USA
`network_status`	string	Status of the sensor's network connectivity (e.g., online, offline, intermittent)online · offline · intermittent	online
`remarks`	string	Optional remarks or notes about the sensor log entryoptional	Routine morning check
Numbers 5 columns
`pollutant_value`	float	Measured value of the pollutant (in micrograms/m3 or ppm)0 or more	38.5
`latitude`	float	Latitude coordinate of the sensor location-90 to 90	37.7749
`longitude`	float	Longitude coordinate of the sensor location-180 to 180	-122.4194
`signal_strength`	float	Measured signal strength of the network connection (in dBm)-120 to 0 · optional	-56
`battery_level`	float	Current battery level of the sensor (percentage, 0-100)0 to 100 · optional	92
Dates and times 1 column
`timestamp`	datetime	Date and time when the sensor reading was recorded	2024-05-31T00:15:00Z
True or false 2 columns
`is_faulty`	boolean	Indicates if the sensor is reporting a fault or error	false
`maintenance_required`	boolean	Indicates if the sensor requires maintenanceoptional	false

Use it for

A telecommunications dashboard
The is_faulty rate, battery_level by network_status and a breakdown of address_state. Excel, Power BI or Tableau.
Why do the 80 online rows have a mean battery_level of 79.7?
A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
Logs120
F8Q9R2-000192online
J4K7L2-0018100online
W0N7Y2-00310offline
A software demo
Believable logs with sensor_id, sensor_type and timestamp to fill a screen in front of a buyer.

This dataset120 rows20 columns

Yours1,000 rows20 columnsaddress_street: UK only

blueprint · urban-pollution-iot-sensor-logs

Behind this dataset

Same schema. As many rows as you need.

These 120 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 sensor records air quality metrics every hour.
Locations are mapped to telecom network coverage zones.
Sensor outages are logged and flagged for network analysis.
Pollution spikes are correlated with network activity events.
Data conforms to smart city privacy regulations.

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

Open the blueprint in Data Factory

1 credit per row. Preview 20 rows free. Buy rows for the full run.

Exports: CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence: yours to use, including commercially
API slug: urban-pollution-iot-sensor-logs

What should your data show?

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Sample rows

What the 120 rows show

Columns

Use it for

A telecommunications dashboard

A root-cause class exercise

A software demo

Make it yours.

Same schema. As many rows as you need.

More in Telecommunications

What should your data show?