Public Art Installation Sensor Metrics

This dataset offers comprehensive sensor-based metrics for public art installations, including environmental impact, visitor engagement, energy consumption, and maintenance requirements. It enables urban planners and sustainability officers to optimize art asset placement, monitor usage patterns, and proactively address security or maintenance needs, supporting data-driven decisions for vibrant, sustainable cities.

  • last updated 10 Dec 2025
  • by GoMask
The brief that made it

Optimizing placement and energy usage of public art installations

Sample rows

preview · 8 of 45 rows · all 23 columns
installation_idstringsensor_typestringenergy_consumption_kwhfloatmaintenance_requiredbooleanenvironmental_metric_typestringinstallation_namestringartist_namestringinstallation_typestringlocation_street_addressstringlocation_citystringlocation_statestringlocation_postal_codestringlocation_countrystringlatitudefloatlongitudefloatsensor_idstringsensor_statusstringmeasurement_timestampdatetimeenvironmental_metric_valuefloatvisitor_countintegeraverage_engagement_time_secondsfloatsecurity_event_detectedbooleannotesstring
ART001environmental12.4falsetemperatureSolar BloomLucia Torressculpture100 Market StSan FranciscoCA94103USA37.7749-122.4194SEN001active2024-06-18T09:30:0021.743192.4falseSunny morning, high visitor interest
ART002energy24.9falseblankDigital StreamsEli Liaodigital22 Canal RdBostonMA02114USA42.3611-71.0578SEN002active2024-06-17T15:05:00blank28110.2falseDigital display functioning well
ART003motion10.1falseblankUrban PulseMaya Singhinteractive511 Park AveNew YorkNY10022USA40.7612-73.9704SEN003active2024-06-18T13:22:00blank6587.6falseInteractive sensors triggered frequently
ART004environmental0falsehumidityMural of HopeCarlos Jimenezmural834 Main StAustinTX78701USA30.2711-97.7437SEN004active2024-06-17T10:45:0062.33854.8falseHumidity slightly elevated
ART005energy37.2falseblankLight EchoJia Penginteractive200 King StTorontoONM5V 1A8Canada43.6456-79.3807SEN005active2024-06-18T19:58:00blank52138.7falseEvening event increased energy use
ART006environmental0falsenoise_levelWind ChimesAmber Leesculpture55 RiverwalkChicagoIL60601USA41.8863-87.6079SEN006active2024-06-18T07:10:0049.22131.4falseWind causing increased sound
ART007security0falseblankReflectionsOmar El-Sayedsculpture10 Elm StManchesterNH03101USA42.9906-71.4625SEN007active2024-06-17T22:17:00blank513.9trueVandalism detected: glass panel scratched
ART008environmental0falseair_qualitySkyline MuralRosa Martinezmural420 7th AveSeattleWA98104USA47.6026-122.3286SEN008active2024-06-17T16:00:0036.73341.8falseAir quality moderate

What the 45 rows show

from the 45-row sample

Energy (sensor type) stands out: mean energy_consumption_kwh is 21.3, against 2.4 for the rest.

  • 4%maintenance_required = true
  • 2.1median energy_consumption_kwh
  • 2sensor statuses
  • 5installation types
  • 52.2median environmental_metric_value
  • 23median visitor_count
Mean energy_consumption_kwh by sensor_type45 rows
020400.69environm…21 rows6.8motion9 rows21.3energy13 rows0.0security2 rows
energy_consumption_kwh45 rows, in bands of 5
0153025633520102040energy_consumption_kwh →

Median 2.1, from 0.0 to 37.2.

environmental_metric_type21 rows with a value · 24 left blank
  1. humidity5
  2. noise_level5
  3. temperature4
  4. light_level4
  5. air_quality3
23 columns by typefrom the column list below
  • string 14
  • integer 1
  • float 5
  • datetime 1
  • boolean 2

Columns

23 columns in four groups
blueprint · 23 columns
columntypedescriptionexample
Text 14 columns
installation_idstringUnique identifier for each public art installationuniqueART001
installation_namestringName of the public art installationSolar Bloom
artist_namestringName of the artist who created the installationoptionalLucia Torres
installation_typestringType of art installation (e.g., sculpture, mural, interactive)sculpture · mural · interactive · digital · othersculpture
location_street_addressstringStreet address of the installation location100 Market St
location_citystringCity where the installation is locatedSan Francisco
location_statestringState or region of the installationCA
location_postal_codestringPostal code for the installation location94103
location_countrystringCountry of the installationUSA
sensor_idstringUnique identifier for the sensor deviceuniqueSEN001
sensor_typestringType of sensor (e.g., environmental, motion, energy, security)environmental · motion · energy · security · otherenvironmental
sensor_statusstringOperational status of the sensor (active, inactive, maintenance)active · inactive · maintenanceactive
environmental_metric_typestringType of environmental metric measured (e.g., temperature, humidity, air_quality)6 values · optionaltemperature
notesstringAdditional notes or comments about the measurement or installation statusoptionalAir quality moderate
Numbers 6 columns
latitudefloatLatitude coordinate of the installation-90 to 9037.7749
longitudefloatLongitude coordinate of the installation-180 to 180-122.4194
environmental_metric_valuefloatValue of the environmental metric recorded by the sensoroptional21.7
visitor_countintegerNumber of visitors detected during the measurement period0 or more · optional43
average_engagement_time_secondsfloatAverage time (in seconds) visitors engaged with the installation during the measurement period0 or more · optional192.4
energy_consumption_kwhfloatAmount of energy consumed by the installation during the measurement period (in kWh)0 or more · optional12.4
Dates and times 1 column
measurement_timestampdatetimeDate and time when the sensor measurement was recorded2024-06-18T09:30:00
True or false 2 columns
maintenance_requiredbooleanIndicates if maintenance is required for the installation or sensoroptionalfalse
security_event_detectedbooleanIndicates if a security event (e.g., vandalism, tampering) was detected during the measurement periodoptionalfalse

Use it for

  • maintenance re…4%2 of 45 rowsmean energy consumpti…0.69envi…6.8moti…21.3ener…0.0secu…

    A government dashboard

    The maintenance_required rate, energy_consumption_kwh by sensor_type and a breakdown of environmental_metric_type. Excel, Power BI or Tableau.

  • Why do the 13 energy rows have a mean energy_consumption_kwh of 21.3?

    A root-cause class exercise

    Hand out the rows and one question. The answer is in the data, not in the brief.

  • A software demo

    Believable installations with installation_name, artist_name and installation_type to fill a screen in front of a buyer.

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This dataset45 rows23 columns
Yours1,000 rows23 columnslocation_street_address: UK only

blueprint · public-art-installation-sensor-metrics

Behind this dataset

Same schema. As many rows as you need.

These 45 rows came out of a blueprint — 23 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 art installation has a unique sensor ID.
  • Environmental readings are logged hourly (temperature, humidity, light).
  • Visitor counts are tracked via motion sensors and reset daily.
  • Maintenance events must be recorded with timestamps.
  • Energy consumption readings logged in kWh per day.
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
public-art-installation-sensor-metrics

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