Supplier Emissions Compliance Audit Logs

This dataset provides detailed, structured audit logs for supplier greenhouse gas emissions and ESG compliance, including emissions breakdowns, compliance status, corrective actions, and certification details. It enables organizations to monitor supplier sustainability performance, identify compliance gaps, and drive responsible procurement decisions. The dataset supports regulatory reporting, supply chain transparency, and risk management initiatives.

  • last updated 7 Jan 2026
  • by GoMask
The brief that made it

Monitoring supplier ESG compliance and emissions performance

Sample rows

preview · 8 of 121 rows · all 17 columns
audit_log_idstringesg_compliance_statusstringscope_2_emissions_tonnesfloatcorrective_actions_requiredbooleancountrystringsupplier_idstringsupplier_namestringindustry_sectorstringaudit_datedateauditor_namestringscope_1_emissions_tonnesfloatscope_3_emissions_tonnesfloatcorrective_actions_deadlinedatecompliance_certificate_issuedbooleancertificate_expiry_datedatecompliance_gap_descriptionstringnotesstring
AL-00001Compliant45.3falseGermanySUP-1001GreenTech Solutions Ltd.Renewable Energy2021-03-15SGS Germany21.762blanktrue2022-03-15blankAudit revealed exceptional management of emissions and clear documentation.
AL-00002Compliant24.8falseFinlandSUP-1002Solaris Power GroupRenewable Energy2022-05-10EcoCert Finland10.2blankblanktrue2023-05-10blankSupplier demonstrates industry-leading environmental controls and reporting.
AL-00003Non-Compliant38000.5trueChinaSUP-1003ChemCore IndustriesChemicals2022-08-22Intertek China18700480802023-01-22falseblankSignificant air pollution detected; lack of emission control equipment.Immediate mitigation required; supplier risks regulatory action if not addressed.
AL-00004Partially Compliant1400trueBrazilSUP-1004AgriFresh CooperativeAgriculture2023-02-12DNV Brazil650.523402023-07-12falseblankSome supply chain records missing; fertilizer storage practices incomplete.Progress observed but further improvements needed in documentation and storage.
AL-00005Non-Compliant55000trueIndiaSUP-1005SteelWorks GlobalSteel Production2024-01-04TÜV India30150blank2024-04-04falseblankHigh emissions exceed industry benchmarks; outdated production technology.Recommendation for modernization and immediate emission reduction measures.
AL-00006Compliant33.7falseNorwaySUP-1006EcoWater UtilitiesWater Utilities2023-10-08EcoCert Norway1345blanktrue2024-10-08blankWater utility sets regional best practice in energy and emissions management.
AL-00007Pending507falseBangladeshSUP-1007Textile Innovations Ltd.Textiles2022-06-18SGS Bangladesh435.2blankblankfalseblankAwaiting post-audit emission data and safety review.Supplier is pending feedback from the most recent safety and emissions inspection.
AL-00008Partially Compliant314.5trueArgentinaSUP-1008FreshFoods Ltd.Food & Beverage2021-11-04DNV Argentina2237422022-01-04falseblankIncomplete logs for supply chain emissions; improvements needed in sourcing transparency.Supplier is making progress; further improvements in documentation are required.

What the 121 rows show

from the 121-row sample

Non-Compliant (esg compliance status) stands out: mean scope_2_emissions_tonnes is 35,565, against 367.1 for the rest.

  • 45%corrective_actions_required = true
  • 298.5median scope_2_emissions_tonnes
  • 15industry sectors
  • 223.0median scope_1_emissions_tonnes
  • 742.0median scope_3_emissions_tonnes
Mean scope_2_emissions_tonnes by esg_compliance_status121 rows
020k40k67.1Compliant54 rows35,565Non-Comp…23 rows812.6Partiall…31 rows551.1Pending13 rows
scope_2_emissions_tonnes121 rows, in bands of 10k
05010099249331040k70kscope_2_emissions_tonnes →

Median 298.5, from 5.8 to 67,000.

country121 rows · top 10 of 38 values
  1. Bangladesh7
  2. Mexico7
  3. Finland6
  4. Switzerland6
  5. Argentina5
  6. Singapore5
  7. Brazil4
  8. India4
  9. South Korea4
  10. Chile4
17 columns by typefrom the column list below
  • string 9
  • float 3
  • date 3
  • boolean 2

Columns

17 columns in four groups
blueprint · 17 columns
columntypedescriptionexample
Text 9 columns
audit_log_idstringUnique identifier for each audit log entryuniqueAL-00001
supplier_idstringUnique identifier for the supplier being auditedSUP-1001
supplier_namestringLegal or trading name of the supplierGreenTech Solutions Ltd.
industry_sectorstringIndustry sector in which the supplier operatesRenewable Energy
countrystringCountry where the supplier is headquarteredGermany
auditor_namestringName of the person or organization conducting the auditSGS Germany
esg_compliance_statusstringOverall ESG compliance status for the supplier at the time of auditCompliant · Non-Compliant · Partially Compliant · PendingCompliant
compliance_gap_descriptionstringDescription of any gaps or issues found during the auditoptionalSignificant air pollution…
notesstringAdditional notes or comments from the auditoroptionalAudit revealed exceptiona…
Numbers 3 columns
scope_1_emissions_tonnesfloatReported Scope 1 greenhouse gas emissions in metric tonnes CO2e0 or more21.7
scope_2_emissions_tonnesfloatReported Scope 2 greenhouse gas emissions in metric tonnes CO2e0 or more45.3
scope_3_emissions_tonnesfloatReported Scope 3 greenhouse gas emissions in metric tonnes CO2e0 or more · optional62
Dates and times 3 columns
audit_datedateDate when the audit was performed2021-03-15
corrective_actions_deadlinedateDeadline for the supplier to address corrective actions (if required)optional2023-01-22
certificate_expiry_datedateExpiry date of the compliance certificate (if issued)optional2022-03-15
True or false 2 columns
corrective_actions_requiredbooleanIndicates if corrective actions are required for compliancefalse
compliance_certificate_issuedbooleanIndicates if a compliance certificate was issued after the audittrue

Use it for

  • corrective act…45%55 of 121 rowsmean scope 2 emission…67.1Comp…35.6kNon-…812.6Part…551.1Pend…

    A manufacturing dashboard

    The corrective_actions_required rate, scope_2_emissions_tonnes by esg_compliance_status and a breakdown of country. Excel, Power BI or Tableau.

  • Why do the 23 Non-Compliant rows have a mean scope_2_emissions_tonnes of 35,565?

    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 audit logs with supplier_id, supplier_name and industry_sector to fill a screen in front of a buyer.

Not quite right?

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This dataset121 rows17 columns
Yours1,000 rows17 columnscountry: UK only

blueprint · supplier-emissions-compliance-audit-logs

Behind this dataset

Same schema. As many rows as you need.

These 121 rows came out of a blueprint — 17 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 a compliance audit event for a single supplier.
  • Emissions data must be reported in CO2-equivalent metric tons.
  • Audit frequency is quarterly per supplier.
  • Compliance status must be coded (Compliant, Minor Finding, Major Violation).
  • Include supporting documentation reference for each audit.
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
supplier-emissions-compliance-audit-logs

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