Production data, quality control, machinery logs
This ready-made synthetic dataset provides 30,041 records across 4 tables
This ready-made synthetic dataset provides 30,041 records across 4 tables, designed for practicing data quality analysis. It includes detailed production and quality check information, suitable for intermediate domain professionals.
This is a ready-made synthetic dataset for machine learning
This is a ready-made synthetic dataset for machine learning and quality control analysis. It contains 51,267 rows across 3 tables, detailing product information, defect occurrences, and associated image metadata. Preview rows are available for free.
Precise downtime events with reasons and durations
This dataset logs detailed machine events, sensor readings, and operational statuses from manufacturing equipment, including precise downtime events with reasons and durations. Designed for predictive maintenance, root cause analysis, and production optimization, it supports advanced analytics to minimize downtime and maximize equipment reliability. The flat structure ensures compatibility with most analytics platforms and machine learning workflows.
Remote monitoring records for manufacturing equipment across multiple sites
This dataset provides comprehensive remote monitoring records for manufacturing equipment across multiple sites, capturing operational status, performance metrics, maintenance schedules, and error events. It enables proactive maintenance, downtime analysis, and performance optimization, supporting Industry 4.0 initiatives and digital transformation in legacy manufacturing environments.
25 cols
Emissions scope, data quality, risk assessment, and compliance status
This dataset provides granular, tiered tracking of supplier-specific carbon emissions across complex supply chains, including emissions scope, data quality, risk assessment, and compliance status. It enables organizations to benchmark, trace, and manage decarbonization efforts, supporting ESG reporting and supply chain risk mitigation. The flat structure ensures compatibility with analytics, dashboards, and regulatory audits.
Certifications, emissions data, and risk assessments
This dataset provides a detailed, structured view of supplier sustainability compliance, including certifications, emissions data, and risk assessments. It enables operations managers and ESG teams to monitor supply chain partners, identify compliance gaps, and streamline sustainability reporting for regulatory and internal purposes.
25 cols
Device details, error codes, severity, operational context
This dataset provides granular, real-time logs of error events from IoT devices across a manufacturing shop floor, including device details, error codes, severity, operational context, and resolution status. It enables predictive maintenance, downtime analysis, and root cause investigations, supporting operational efficiency and continuous improvement initiatives.
Timestamped security audit logs for IoT-enabled robotics systems on a smart
This dataset contains detailed, timestamped security audit logs for IoT-enabled robotics systems on a smart manufacturing floor. It includes event types, severity, user actions, compliance checks, and vulnerability detections, supporting comprehensive risk analysis, incident response, and regulatory compliance monitoring for industrial cybersecurity teams.
Operational, financial, and ESG indicators
This dataset provides a comprehensive risk assessment framework for suppliers, including operational, financial, and ESG indicators, along with performance metrics and contact information. It enables manufacturers to evaluate, benchmark, and monitor supplier risk, supporting proactive supply chain resilience and supplier improvement strategies.
Eco-certification status, carbon footprint data
This dataset provides detailed sustainability vetting scores for suppliers, including eco-certification status, carbon footprint data, and responsible sourcing metrics. It enables small manufacturers to efficiently assess and compare supplier compliance with sustainability standards, supporting transparent and ethical procurement decisions.
18 cols
Ownership types, certification statuses, contract values
This dataset provides a comprehensive view of supplier diversity metrics, including ownership types, certification statuses, contract values, and engagement frequencies. It enables organizations to track, analyze, and improve diversity in their supply chains, supporting inclusion goals, compliance reporting, and supplier relationship management. Ideal for manufacturers, retailers, and procurement leaders seeking actionable insights on supplier diversity.
Timestamped emission logs from industrial IoT sensors across smart factory floors
This dataset contains timestamped emission logs from industrial IoT sensors across smart factory floors, tracking CO2, NOx, and particulate levels for sustainability and compliance. It enables granular analysis of emissions by location, sensor status, and regulatory thresholds, supporting ESG reporting and operational optimization.
Audit details, waste quantities, disposal methods, compliance status
This dataset provides granular records of waste stream outputs from manufacturing facilities, including audit details, waste quantities, disposal methods, compliance status, and reduction opportunities. It is designed to support ESG officers in sustainability audits, regulatory compliance, and benchmarking facility performance for waste reduction initiatives.
Efficiency, downtime, throughput, and predictive failure indicators
This dataset provides daily, shift-level operational metrics from digital twins of SME factory lines, including efficiency, downtime, throughput, and predictive failure indicators. It enables operational managers to monitor equipment health, benchmark performance, and support data-driven decisions for maintenance and supply chain optimization. The rich, flat structure supports advanced analytics, predictive modeling, and continuous improvement initiatives in manufacturing environments.
Audit results, incident tracking, and regulatory status
This dataset enables real-time monitoring and assessment of manufacturing suppliers' ESG (Environmental, Social, Governance) compliance, including audit results, incident tracking, and regulatory status. It empowers SMEs to proactively manage supply chain risks, ensure ethical sourcing, and meet evolving regulatory standards with actionable insights for procurement and compliance teams.
Supplier identity, diversity certifications, contract details, risk levels
This dataset provides a comprehensive view of supplier diversity and compliance across manufacturing and logistics operations, including supplier identity, diversity certifications, contract details, risk levels, and annual spend. It enables ESG analysts and supply chain managers to track inclusivity, ensure regulatory compliance, and optimize sourcing strategies for improved risk resilience and transparency.
ESG (Environmental, Social, Governance) compliance events across manufacturing
This dataset provides a comprehensive log of ESG (Environmental, Social, Governance) compliance events across manufacturing processes, capturing event details, regulatory context, responsible parties, and resolution status. It enables real-time monitoring, risk identification, and audit readiness for operations and sustainability teams, supporting proactive compliance management and reporting.
Supplier ESG compliance in e-commerce and manufacturing
This dataset offers a comprehensive view of supplier ESG compliance in e-commerce and manufacturing, featuring detailed supplier ratings, audit results, issue logs, and remediation tracking. It enables organizations to monitor supply chain risks, drive sustainability initiatives, and ensure transparency in responsible sourcing. The structured schema supports actionable insights for compliance managers and operational leaders.
Emissions breakdowns, production volumes, compliance status
This dataset provides detailed, supplier-specific carbon emissions logs across the manufacturing supply chain, including emissions breakdowns, production volumes, compliance status, and risk hotspot flags. It enables operational managers to benchmark supplier sustainability, identify carbon-intensive hotspots, and ensure alignment with ESG mandates for procurement optimization and reporting.
27 cols
Machine uptime, downtime, predictive maintenance alerts
This dataset provides detailed, timestamped logs of events captured by factory IoT sensors, including machine uptime, downtime, predictive maintenance alerts, and anomaly detection. Each record links sensor readings to specific machines, event types, and operator actions, enabling in-depth analysis of equipment performance, incident resolution, and operational efficiency. Ideal for predictive maintenance, downtime analysis, and continuous improvement initiatives in manufacturing environments.
Emissions breakdowns, compliance status, corrective actions
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.
Incident details, severity, financial impact, and remediation actions
This dataset provides a comprehensive record of supplier-reported ESG incidents across all tiers of a global supply chain, including incident details, severity, financial impact, and remediation actions. It enables organizations to monitor compliance risks, benchmark supplier ESG performance, and support responsible sourcing and regulatory reporting initiatives.
Sensor readings, predicted failure types, severity, and recommended actions
This dataset provides detailed predictive failure logs for manufacturing equipment, including sensor readings, predicted failure types, severity, and recommended actions. It is ideal for developing and benchmarking predictive maintenance models, optimizing part replacement schedules, and minimizing plant downtime through actionable insights.
18 cols
Detailed plant location, energy source, peak usage periods
This dataset provides granular, hourly logs of renewable energy consumption at manufacturing plants, including detailed plant location, energy source, peak usage periods, and sustainability target tracking. Designed for operations and ESG managers, it enables monitoring of green energy adoption, identification of improvement areas, and robust sustainability reporting.
Columns and codes found in the sample rows of all 91 manufacturing datasets.
One sentence in. A dataset with that pattern out.
| machine | vibration_mm_s | temp_c | failed |
|---|---|---|---|
| CNC lathe | 8.2 | 71.4 | yes |
| Press brake | 2.9 | 48.0 | no |
| CNC mill | 7.6 | — | yes |
| Injection moulder | 4.1 | 55.3 | no |
A pattern you asked for Everything else