Energy
19 columns
120 rows
8 formats

Public Space Occupancy IoT Logs

This dataset provides granular, time-stamped logs from occupancy sensors deployed in public spaces, including occupancy counts, environmental readings, and anomaly flags. It enables smart building operators and city planners to monitor real-time usage, detect unusual patterns, and optimize resource allocation for energy management, space utilization, and predictive maintenance. The schema supports robust analytics and operational insights for urban environments.

last updated 13 Jan 2026
by GoMask

The brief that made it

Real-time monitoring of public space usage for smart buildings and cities

Sample rows

preview · 8 of 120 rows · all 19 columns

log_idstring	anomaly_typestring	humidity_percentfloat	anomaly_detectedboolean	location_postal_codestring	sensor_idstring	space_idstring	space_namestring	space_typestring	location_street_addressstring	location_citystring	location_statestring	location_countrystring	timestampdatetime	occupancy_statusboolean	occupancy_countinteger	sensor_battery_levelfloat	sensor_health_statusstring	temperature_celsiusfloat
A12BC3D4-E5F6-7890	none	41.7	false	62701	SENSOR-0011	SPACE-101	Main Lobby	lobby	100 Main St	Springfield	IL	USA	2024-06-03T08:07:25	true	8	92.1	normal	22.4
B23CD4E5-F6A7-8901	none	43.8	false	62701	SENSOR-0012	SPACE-102	Conference Room 1	conference_room	100 Main St	Springfield	IL	USA	2024-06-03T08:12:59	true	3	97.5	normal	21.7
C34DE5F6-A789-0123	none	48.5	false	62701	SENSOR-0013	SPACE-103	Restroom A	restroom	102 Main St	Springfield	IL	USA	2024-06-03T08:15:31	false	0	88.9	normal	20.9
D45EF6A7-8901-2345	none	42.1	false	62701	SENSOR-0014	SPACE-104	East Hallway	hallway	104 Main St	Springfield	IL	USA	2024-06-03T08:20:33	true	2	95.2	normal	21.4
E56FA7B8-9012-3456	none	53.2	false	62702	SENSOR-0015	SPACE-105	Central Park	park	200 Oak St	Springfield	IL	USA	2024-06-03T08:25:12	true	15	86.7	normal	19.5
F67AB8C9-0123-4567	none	46.9	false	62703	SENSOR-0016	SPACE-106	Auditorium Alpha	auditorium	300 Elm St	Springfield	IL	USA	2024-06-03T08:35:03	true	52	90.6	normal	20.1
G78BC9D0-1234-5678	none	39.5	false	62704	SENSOR-0017	SPACE-107	Office 201	office	400 Pine St	Springfield	IL	USA	2024-06-03T08:41:22	true	5	85.4	normal	21.9
H89CD0E1-2345-6789	none	45.2	false	62521	SENSOR-0018	SPACE-108	Lobby North	lobby	500 Maple Ave	Decatur	IL	USA	2024-06-03T08:49:10	true	10	92.9	normal	23.3
I90DE1F2-3456-7890	none	50.6	false	62521	SENSOR-0019	SPACE-109	Restroom B	restroom	502 Maple Ave	Decatur	IL	USA	2024-06-03T08:54:00	false	0	78.4	normal	20.5
J01EF2A3-4567-8901	none	44	false	62522	SENSOR-0020	SPACE-110	Hallway West	hallway	600 Oak Ave	Decatur	IL	USA	2024-06-03T09:01:12	true	1	83.2	normal	22.7
K12FA3B4-5678-9012	none	55.6	false	62523	SENSOR-0021	SPACE-111	Riverfront Park	park	800 River Rd	Decatur	IL	USA	2024-06-03T09:05:45	true	21	81.5	normal	18.8
L23AB4C5-6789-0123	none	47.8	false	62521	SENSOR-0022	SPACE-112	Auditorium Beta	auditorium	900 Cedar St	Decatur	IL	USA	2024-06-03T09:10:31	true	38	88.3	normal	20.3
M34BC5D6-7890-1234	none	40.8	false	62522	SENSOR-0023	SPACE-113	Office 202	office	1000 Willow St	Decatur	IL	USA	2024-06-03T09:16:58	true	7	77.9	normal	22.1
N45CD6E7-8901-2345	none	52.2	false	61820	SENSOR-0024	SPACE-114	Lobby South	lobby	1200 Birch Ave	Champaign	IL	USA	2024-06-03T09:24:04	false	0	84.7	normal	23.9
O56DE7F8-9012-3456	none	49.3	false	61820	SENSOR-0025	SPACE-115	Restroom C	restroom	1202 Birch Ave	Champaign	IL	USA	2024-06-03T09:29:12	false	0	80.1	normal	20.6
P67EF8A9-0123-4567	none	44.2	false	61821	SENSOR-0026	SPACE-116	Hallway North	hallway	1300 Oak Rd	Champaign	IL	USA	2024-06-03T09:37:19	true	1	78.4	normal	21.1
Q78FA9B0-1234-5678	none	57.1	false	61822	SENSOR-0027	SPACE-117	Lakeview Park	park	1400 Lake St	Champaign	IL	USA	2024-06-03T09:43:02	true	18	79.8	normal	18.5
R89AB0C1-2345-6789	none	49	false	61823	SENSOR-0028	SPACE-118	Auditorium Gamma	auditorium	1500 Elm Rd	Champaign	IL	USA	2024-06-03T09:47:55	true	33	87.2	normal	19.7
S90BC1D2-3456-7890	none	43.4	false	61821	SENSOR-0029	SPACE-119	Office 203	office	1600 Pine Rd	Champaign	IL	USA	2024-06-03T09:52:13	true	6	76.5	normal	20.9
T01CD2E3-4567-8901	none	40.3	false	61614	SENSOR-0030	SPACE-120	Lobby East	lobby	1700 Oak Ave	Peoria	IL	USA	2024-06-03T10:01:05	true	9	88.9	normal	22.3

What the 120 rows show

from the 120-row sample

Sensor_failure (anomaly type) stands out: 10 of its 10 rows have anomaly_detected = true, against 5 of 110 for the rest.

13%anomaly_detected = true
47.0median humidity_percent
4sensor health statuses
8space types
9location states
21location cities

Anomaly detected rate by anomaly_typeanomaly_detected = true

Sensor_failure (anomaly type)'s mean humidity_percent is 37.7, against 58.8 for occupancy_spike and 48.4 for none.

humidity_percent120 rows, in bands of 10

Median 47.0, from 34.5 to 65.2.

location_postal_code120 rows · top 10 of 40 values

4620410
443088
432157
441146
436066
981016
554015
941075
752015
021145

19 columns by typefrom the column list below

string 12
integer 1
float 3
datetime 1
boolean 2

Columns

19 columns in four groups

blueprint · 19 columns
column	type	description	example
Text 12 columns
`log_id`	string	Unique identifier for each occupancy sensor log entryunique	A12BC3D4-E5F6-7890
`sensor_id`	string	Unique identifier for the IoT occupancy sensor	SENSOR-0011
`space_id`	string	Unique identifier for the public space being monitored	SPACE-101
`space_name`	string	Human-readable name of the public spaceoptional	Main Lobby
`space_type`	string	Type of public space (e.g., lobby, conference_room, restroom, hallway, park)8 values	lobby
`location_street_address`	string	Street address of the public spaceoptional	100 Main St
`location_city`	string	City where the public space is locatedoptional	Springfield
`location_state`	string	State or region of the public space9 states · optional	IL
`location_postal_code`	string	Postal code of the public spaceoptional	62701
`location_country`	string	Country where the public space is locatedoptional	USA
`sensor_health_status`	string	Operational status of the sensor (e.g., normal, maintenance_required, offline)normal · maintenance_required · offline · error · optional	normal
`anomaly_type`	string	Type of anomaly detected (e.g., occupancy_spike, sensor_failure, data_gap)occupancy_spike · sensor_failure · data_gap · none · other · optional	none
Numbers 4 columns
`occupancy_count`	integer	Number of people detected in the space at the time of logging0 or more · optional	8
`sensor_battery_level`	float	Current battery level of the sensor as a percentage (0.0 - 100.0)0 to 100 · optional	92.1
`temperature_celsius`	float	Ambient temperature in the space (Celsius) at the time of logging-40 to 85 · optional	22.4
`humidity_percent`	float	Ambient relative humidity in the space (%) at the time of logging0 to 100 · optional	41.7
Dates and times 1 column
`timestamp`	datetime	Date and time when the occupancy event was recorded	2024-06-03T08:07:25
True or false 2 columns
`occupancy_status`	boolean	Indicates if the space is currently occupied (true) or unoccupied (false)	true
`anomaly_detected`	boolean	Indicates if an anomaly was detected in occupancy or sensor readingsoptional	false

Use it for

An energy dashboard
The anomaly_detected rate, humidity_percent by anomaly_type and a breakdown of location_postal_code. Excel, Power BI or Tableau.
Why do 15 of 120 rows have anomaly_detected = true?
A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
Logs120
A12BC3D4-E5F6-789041.7none
bdbb45e5-6f43-4924-af6a-6c1d2d3a6e4455.4occupanc…
a1d1e89c-0b5f-476c-94b7-2f2f1d4e4e9a40.3sensor_f…
A software demo
Believable logs with sensor_id, space_id and space_name to fill a screen in front of a buyer.

This dataset120 rows19 columns

Yours1,000 rows19 columnslocation_street_address: UK only

blueprint · public-space-occupancy-iot-logs

Behind this dataset

Same schema. As many rows as you need.

These 120 rows came out of a blueprint — 19 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 represents one sensor event with timestamp, sensor ID, and occupancy status.
Sensor IDs are unique per location zone.
Occupancy status is either 'vacant', 'occupied', or 'unknown'.
Events with consecutive identical statuses are aggregated for efficiency.
Anomaly flag is triggered if occupancy status changes rapidly within 10 minutes.

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: public-space-occupancy-iot-logs

What should your data show?

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Sample rows

What the 120 rows show

Columns

Use it for

An energy dashboard

A root-cause class exercise

A software demo

Make it yours.

Same schema. As many rows as you need.

More in Energy

What should your data show?