Urban Delivery Temperature Monitoring

This dataset provides granular, real-time thermal and humidity readings from last-mile delivery vehicles in urban environments, including GPS location, product type, and cold-chain compliance status. It enables e-commerce and logistics operators to monitor product safety, optimize delivery routes, and ensure regulatory compliance for sensitive goods. The data is ideal for supply chain analytics, risk management, and operational efficiency improvements.

  • last updated 4 Dec 2025
  • by GoMask
The brief that made it

Real-time monitoring of cold-chain compliance for perishable goods

Sample rows

preview · 8 of 110 rows · all 15 columns
reading_idstringproduct_typestringtemperature_celsiusfloatcold_chain_compliancebooleanstatestringvehicle_idstringdriver_idstringtimestampdatetimehumidity_percentfloatlocation_latitudefloatlocation_longitudefloatdelivery_idstringalert_flagbooleancitystringcountrystring
A001-202406011000perishable4.5trueNYV101DRV1012024-06-01T10:00:00Z72.440.7128-74.006DEL1201falseNew YorkUSA
B002-202406011030frozen-18.2trueblankV102DRV1022024-06-01T10:30:00Z5551.5074-0.1278DEL1202falseLondonUK
C003-202406011100electronics29.1falseCAV103DRV1032024-06-01T11:00:00Z41.234.0522-118.2437blanktrueLos AngelesUSA
D004-202406011130perishable7.3trueblankV104DRV1042024-06-01T11:30:00Z68.748.85662.3522DEL1203falseParisFrance
E005-202406011200perishable36.7falseblankV105DRV1052024-06-01T12:00:00Z88.419.4326-99.1332DEL1204trueMexico CityMexico
F006-202406011230frozen-0.4trueblankV106DRV1062024-06-01T12:30:00Z44.535.6895139.6917DEL1205falseTokyoJapan
G007-202406011300other65.1falseNSWV107DRV1072024-06-01T13:00:00Z11.3-33.8688151.2093blanktrueSydneyAustralia
H008-202406011330pharmaceutical-32.6trueblankV108blank2024-06-01T13:30:00Z9.190135DEL1206falseNorth PoleArctic

What the 110 rows show

from the 110-row sample

Other (product type) stands out: mean temperature_celsius is 53.4, against 8.4 for the rest.

  • 65%cold_chain_compliance = true
  • 7.2median temperature_celsius
  • 47.5median humidity_percent
temperature_celsius110 rows, in bands of 20
0204076203624944-6020100temperature_celsius →

Median 7.2, from -50.0 to 90.0.

state21 rows with a value · 89 left blank
  1. NSW4
  2. ON4
  3. NY3
  4. CA3
  5. AK2
  6. IL1
  7. PA1
  8. RM1
  9. BE1
  10. DL1
15 columns by typefrom the column list below
  • string 8
  • float 4
  • datetime 1
  • boolean 2

Columns

15 columns in four groups
blueprint · 15 columns
columntypedescriptionexample
Text 8 columns
reading_idstringUnique identifier for each temperature reading eventuniqueA001-202406011000
vehicle_idstringUnique identifier for the delivery vehicleV101
driver_idstringUnique identifier for the driver operating the vehicleoptionalDRV101
delivery_idstringUnique identifier for the delivery associated with this readingoptionalDEL1201
product_typestringType of product being transported (e.g., perishable, frozen, electronics)perishable · frozen · electronics · pharmaceutical · other · optionalperishable
citystringCity where the reading was takenoptionalNew York
statestringState or region where the reading was taken10 states · optionalNY
countrystringCountry where the reading was takenoptionalUSA
Numbers 4 columns
temperature_celsiusfloatTemperature reading inside the vehicle in degrees Celsius-50 to 804.5
humidity_percentfloatHumidity percentage inside the vehicle at the time of reading0 to 100 · optional72.4
location_latitudefloatLatitude coordinate of the vehicle at the time of reading-90 to 9040.7128
location_longitudefloatLongitude coordinate of the vehicle at the time of reading-180 to 180-74.006
Dates and times 1 column
timestampdatetimeDate and time when the temperature reading was recorded2024-06-01T10:00:00Z
True or false 2 columns
cold_chain_compliancebooleanIndicates if the temperature reading is within the required range for cold-chain complianceoptionaltrue
alert_flagbooleanTrue if the reading triggered a temperature alert (out-of-range)optionalfalse

Use it for

  • cold chain com…65%64 of 98 rows

    A logistics dashboard

    The cold_chain_compliance rate, temperature_celsius by product_type and a breakdown of state. Excel, Power BI or Tableau.

  • Why do the 14 other rows have a mean temperature_celsius of 53.4?

    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 readings with vehicle_id, driver_id and timestamp to fill a screen in front of a buyer.

Not quite right?

Make it yours.

Same 15 columns, your size and your rules. See 20 rows before you pay.

Preview 20 rows free

1,000 rows: $1.99 · 10,000: $12.99One-time. No subscription. All prices

This dataset110 rows15 columns
Yours1,000 rows15 columnslocation_latitude: UK only

blueprint · urban-delivery-temperature-monitoring

Behind this dataset

Same schema. As many rows as you need.

These 110 rows came out of a blueprint — 15 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 delivery tracked includes timestamp, route ID, vehicle type, and temperature readings at 10-minute intervals.
  • Temperature values must remain within product-specific safe thresholds; violations flagged.
  • Deliveries completed within 4 hours receive a compliance score; late deliveries flagged.
  • Sensors must log both ambient and cargo temperatures.
  • Vehicle ID and operator anonymized for privacy.
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-delivery-temperature-monitoring

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