Factory Emissions Compliance Tracker

This dataset provides granular tracking of factory emissions, including source-level measurements, regulatory thresholds, compliance status, and incident management. It enables plant managers and sustainability teams to monitor environmental performance, respond to non-compliance, and generate reports for regulatory and sustainability purposes.

  • last updated 13 Dec 2025
  • by GoMask
The brief that made it

Regulatory compliance monitoring for factories and plants

Sample rows

preview · 8 of 150 rows · all 23 columns
factory_idstringemission_source_typestringemission_valuefloatcorrective_action_takenbooleanaddress_countrystringfactory_namestringaddress_streetstringaddress_citystringaddress_statestringaddress_postal_codestringemission_source_idstringemission_typestringmeasurement_datedateemission_unitstringregulatory_thresholdfloatthreshold_unitstringcompliance_statusstringincident_idstringincident_datedateincident_typestringcorrective_action_datedatereporting_periodstringincident_descriptionstring
FAC10001boiler53.34blankUSASeattle Industrial Chemicals1234 Elliott Ave WSeattleWA98119SRC10001CO22024-01-15tons100tonscompliantblankblankblankblankQ1 2024blank
FAC10002process_line175.12blankUSADetroit Process Solutions8450 Jefferson AvenueDetroitMI48214SRC10002CO22024-02-02tons250tonscompliantblankblankblankblankQ1 2024blank
FAC10003furnace6700.53trueUSAPittsburgh Steelworks2200 Liberty AvePittsburghPA15222SRC10003CO22024-01-28tons6500tonsnon-compliantINC100012024-01-30exceedance2024-02-032024-01CO2 emissions exceeded regulatory threshold during furnace operation, requiring review and immediate response.
FAC10004boiler95.21blankUSAAustin Energy Manufacturing801 E Riverside DrAustinTX78704SRC10004NOx2024-02-15kg100kgcompliantblankblankblankblankQ1 2024blank
FAC10005furnace8250.92trueUSAPhoenix Equipment Works1723 W Grand AvePhoenixAZ85007SRC10005CO22024-01-25tons8000tonsnon-compliantINC100022024-01-27exceedance2024-01-312024-01Furnace emitted CO2 levels above regulatory limits; incident logged for corrective measures.
FAC10006generator0.18blankSingaporeSingapore Advanced Plastics75 Science Park DrSingaporeCentral118256SRC10006VOC2024-02-19mg/m35mg/m3compliantblankblankblankblank2024-02blank
FAC10007furnace570.01falseAustraliaMelbourne Steel & Foundry111 Collins StMelbourneVIC3000SRC10007SO22024-01-16kg550kgnon-compliantINC100032024-01-18exceedanceblank2024-01SO2 emissions exceeded the allowed level for furnace operations; corrective action required.
FAC10008process_line0.04blankCanadaToronto Polymer Solutions642 King St WTorontoONM5V1M7SRC10008VOC2024-01-12mg/m33mg/m3compliantblankblankblankblankQ1 2024blank

What the 150 rows show

from the 150-row sample

Furnace (emission source type) stands out: mean emission_value is 4,082, against 110.9 for the rest.

  • 73%corrective_action_taken = true
  • 70.5median emission_value
  • 3compliance statuses
  • 5emission types
  • 5emission units
  • 5threshold units
Mean emission_value by emission_source_type150 rows
04,0008,000288.6boiler40 rows13.8genera…31 rows52.8proces…32 rows4,082furnace26 rows4.5other21 rows
emission_value150 rows, in bands of 1,000
07014013430001433205,00010kemission_value →

Median 70.5, from 0.0 to 9,560.

address_country150 rows · top 10 of 13 values
  1. USA69
  2. Canada14
  3. Australia12
  4. Singapore10
  5. Poland9
  6. UK7
  7. Argentina7
  8. India6
  9. Germany5
  10. Malaysia4
23 columns by typefrom the column list below
  • string 17
  • float 2
  • date 3
  • boolean 1

Columns

23 columns in four groups
blueprint · 23 columns
columntypedescriptionexample
Text 17 columns
factory_idstringUnique identifier for each factory or plantuniqueFAC10001
factory_namestringOfficial name of the factoryPittsburgh Steelworks
address_streetstringStreet address of the factory1234 Elliott Ave W
address_citystringCity where the factory is locatedSeattle
address_statestringState or province of the factory locationWA
address_postal_codestringPostal or ZIP code of the factory98119
address_countrystringCountry where the factory is locatedUSA
emission_source_idstringUnique identifier for each emission source within a factoryuniqueSRC10001
emission_source_typestringType of emission source (e.g., boiler, generator, process line)boiler · generator · process_line · furnace · otherboiler
emission_typestringType of emission (e.g., CO2, NOx, SO2, particulate matter)6 valuesCO2
emission_unitstringUnit of measurement for the emission value (e.g., tons, mg/m3)6 valuestons
threshold_unitstringUnit of measurement for the regulatory threshold6 valuestons
compliance_statusstringCompliance status for the emission measurementcompliant · non-compliant · pendingcompliant
incident_idstringUnique identifier for emission incidents (if any)unique · optionalINC10001
incident_typestringType of incident (e.g., exceedance, equipment failure, reporting error)exceedance · equipment_failure · reporting_error · other · optionalexceedance
incident_descriptionstringDetailed description of the incident (if applicable)optionalCO2 emissions exceeded re…
reporting_periodstringReporting period for the measurement (e.g., Q1 2024, 2024-06)9 periodsQ1 2024
Numbers 2 columns
emission_valuefloatMeasured value of the emission (e.g., tons, mg/m3)0 or more53.34
regulatory_thresholdfloatRegulatory threshold value for the emission type at this source0 or more100
Dates and times 3 columns
measurement_datedateDate when the emission measurement was taken2024-01-15
incident_datedateDate of the emission incident (if applicable)optional2024-01-30
corrective_action_datedateDate when corrective action was implemented (if applicable)optional2024-02-03
True or false 1 column
corrective_action_takenbooleanIndicates if corrective action was taken for the incidentoptionaltrue

Use it for

  • corrective act…73%37 of 51 rowsmean emission value b…288.6boil…13.8gene…52.8proc…4.1kfurn…

    A manufacturing dashboard

    The corrective_action_taken rate, emission_value by emission_source_type and a breakdown of address_country. Excel, Power BI or Tableau.

  • Why do the 26 furnace rows have a mean emission_value of 4,082?

    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 factories with factory_name, address_street and address_city to fill a screen in front of a buyer.

Not quite right?

Make it yours.

Same 23 columns, your size and your rules. See 20 rows before you pay.

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This dataset150 rows23 columns
Yours1,000 rows23 columnsaddress_street: UK only

blueprint · factory-emissions-compliance-tracker

Behind this dataset

Same schema. As many rows as you need.

These 150 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 emission event must capture pollutant type and measured value
  • Emissions exceeding threshold levels trigger compliance incident logging
  • Daily summaries required for all emission sources
  • Events missing required sensor data are flagged for review
  • Compliance status updated after incident resolution
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
factory-emissions-compliance-tracker

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