Manufacturing datasets

Production data, quality control, machinery logs

  • 91 ready-made datasets
  • 8 formats, Excel to Parquet
  • First download free
What the 91 cover1 square = 1 dataset
  • Suppliers & supply chain23
  • Energy, water & emissions21
  • Quality & production17
  • Maintenance & downtime16
  • Factory sensors & security13
  • Everything else1
Grouped by dataset title and tags.

91 datasets · page 3 of 4

Showing all 24 on this page

Factory sensors & security

Manufacturing IoT Equipment Health Logs

Operational metrics, status flags, and contextual data such as location

This dataset offers detailed, time-stamped IoT sensor logs for manufacturing equipment, including operational metrics, status flags, and contextual data such as location and operator. It is ideal for predictive maintenance, real-time equipment monitoring, and supply chain optimization, enabling manufacturers to minimize downtime and improve operational efficiency.

15 cols

  • equipment_type
  • location
  • temperature_celsius
  • vibration_level
  • +11
Open in factory
equipment_type
CNC
location
Line A - Station 1
temperature_celsius
65.2

Factory sensors & security

Factory IoT Parts Traceability

Event-level traceability for factory parts using IoT sensor data

This dataset provides detailed, event-level traceability for factory parts using IoT sensor data, capturing every stage of production, operator actions, and compliance status. It enables manufacturers to monitor supply chain transparency, manage recalls efficiently, and comply with traceability regulations, supporting risk analysis and operational optimization.

18 cols

  • part_type
  • serial_number
  • production_stage
  • sensor_type
  • +14
Open in factory
part_type
gearbox
serial_number
SN0000001
production_stage
assembly

Energy, water & emissions

Manufacturing ESG Initiative Impact Data

Project types, facility locations, impact metrics (carbon abatement

This dataset provides detailed records of manufacturing ESG initiatives, including project types, facility locations, impact metrics (carbon abatement, energy savings, employee engagement), financials, and compliance frameworks. It enables operations managers to benchmark sustainability efforts, track ROI, and support regulatory and internal ESG reporting for continuous improvement.

23 cols

  • initiative_name
  • initiative_type
  • impact_summary
  • facility_name
  • +19
Open in factory
initiative_name
LED Lighting Upgrade
initiative_type
energy efficiency
facility_name
Green Valley Plant

Manufacturing

Manufacturing Remote Shift Performance Tracker

Productivity metrics, attendance, compliance, equipment usage

This dataset provides granular tracking of remote manufacturing shift performance, including productivity metrics, attendance, compliance, equipment usage, and shift exceptions. It enables operations managers to optimize remote workforce strategies, monitor process adherence, and identify areas for improvement in remote manufacturing environments.

19 cols

  • shift_start_time
  • shift_end_time
  • shift_exceptions
  • remote_tools_used
  • +15
Open in factory
remote_tools_used
Teams,Zoom
employee_name
Jenna Morales
department
Assembly Line A

Energy, water & emissions

Factory Carbon Emissions Tracker

Monthly, asset-level carbon emissions data across multiple factories

This dataset provides monthly, asset-level carbon emissions data across multiple factories and production lines, supporting detailed analysis, regulatory compliance, and sustainability benchmarking in manufacturing operations. It enables identification of high-emission assets, tracks energy consumption, and flags compliance issues, empowering data-driven environmental improvements.

18 cols

  • factory_name
  • factory_location_street
  • emission_month
  • carbon_emission_tonnes
  • +14
Open in factory
factory_name
Northgate Manufacturing
factory_location_street
12 Industrial Ave
emission_month
2023-03-01

Maintenance & downtime

AI Maintenance Incident Audit Log

Auditable logs of AI-driven maintenance incidents for manufacturing assets

This dataset provides detailed, auditable logs of AI-driven maintenance incidents for manufacturing assets, capturing incident detection, AI recommendations, operational responses, compliance status, and audit reviews. It enables SMEs and operational teams to monitor predictive maintenance effectiveness, ensure regulatory compliance, and drive continuous process improvement through actionable insights.

19 cols

  • incident_datetime
  • incident_type
  • incident_severity
  • audit_datetime
  • +15
Open in factory
incident_type
predictive
incident_severity
medium
asset_type
conveyor

Maintenance & downtime

Factory IoT Sensor Fault Logs

Fault codes, severity, sensor readings, environmental conditions

This dataset provides detailed logs of IoT sensor faults in manufacturing environments, including fault codes, severity, sensor readings, environmental conditions, and maintenance actions. It enables anomaly detection, predictive maintenance, and operational efficiency analysis by offering rich contextual and event-driven data for each fault occurrence.

22 cols

  • sensor_type
  • fault_code
  • fault_status
  • sensor_reading_value
  • +18
Open in factory
sensor_type
temperature
fault_code
FC-TEMP-001
fault_status
resolved

Energy, water & emissions

Manufacturing IoT Energy Optimization Logs

Energy consumption and optimization events from IoT sensors across multiple

This dataset provides detailed logs of energy consumption and optimization events from IoT sensors across multiple manufacturing facilities. It includes facility, sensor, machine, and event details, enabling in-depth analysis of energy savings, operational efficiency, and sustainability outcomes. Ideal for identifying inefficiencies, benchmarking performance, and driving targeted energy reduction initiatives.

22 cols

  • energy_consumption_before
  • energy_consumption_after
  • optimization_type
  • optimization_trigger
  • +18
Open in factory
energy_consumption_before
1150.75
energy_consumption_after
1118.66
optimization_type
schedule_adjustment

Energy, water & emissions

Manufacturing Energy Efficiency Benchmark

Plant-level energy usage, output

This dataset provides detailed, plant-level energy usage, output, and benchmarked efficiency metrics for manufacturing facilities, enabling ESG managers and operations leads to identify sustainability gaps, cost-saving opportunities, and best practices for carbon reduction. It supports robust reporting, optimization, and compliance tracking for energy and environmental performance across manufacturing operations.

22 cols

  • energy_consumed_kwh
  • energy_cost_usd
  • energy_efficiency_metric
  • benchmark_efficiency_metric
  • +18
Open in factory
energy_consumed_kwh
430120.5
energy_cost_usd
41512.77
energy_efficiency_metric
5.48

Suppliers & supply chain

Supplier Sustainability Scorecard Dataset

Detailed metrics on resource efficiency, waste management, carbon emissions

This dataset provides a comprehensive scorecard for evaluating supplier sustainability performance, including detailed metrics on resource efficiency, waste management, carbon emissions, water usage, and ethical labor standards. It enables manufacturing managers to benchmark suppliers, track ESG compliance, and make informed, environmentally responsible procurement decisions.

20 cols

  • supplier_name
  • resource_efficiency_score
  • waste_management_score
  • carbon_emissions_score
  • +16
Open in factory
supplier_name
EcoProcure Ltd
resource_efficiency_score
82.3
waste_management_score
76.5

Maintenance & downtime

Manufacturing Machine Failure Prediction

Timestamped sensor readings, operational statuses, maintenance logs

This dataset provides granular, timestamped sensor readings, operational statuses, maintenance logs, and event records for manufacturing equipment, enabling predictive failure modeling and operational optimization. It supports advanced analytics for uptime, maintenance scheduling, and ESG compliance, making it invaluable for operations directors and R&D teams seeking to maximize efficiency and sustainability.

18 cols

  • machine_type
  • failure_event
  • failure_type
  • location
  • +14
Open in factory
machine_type
CNC_Lathe
failure_event
false
location
Section_A_North

Suppliers & supply chain

Supplier Emissions Tracking Dataset

Scope breakdowns, ESG compliance status, and certification details

This dataset provides detailed, period-based CO2e emissions data reported by manufacturing suppliers worldwide, including scope breakdowns, ESG compliance status, and certification details. It enables robust monitoring of supplier sustainability performance, supports regulatory and ESG reporting, and facilitates greener procurement decisions across supply chains.

22 cols

  • supplier_name
  • total_co2e_emissions
  • scope_1_emissions
  • scope_2_emissions
  • +18
Open in factory
supplier_name
GreenWorks Industries
total_co2e_emissions
3250.5
scope_1_emissions
1200

Factory sensors & security

ICS Cybersecurity Events and Intrusion Detection

Unauthorized access attempts, malware infections, configuration changes

This dataset provides detailed records of cybersecurity events and intrusion detection incidents within industrial control systems, including unauthorized access attempts, malware infections, configuration changes, and network anomalies. Each event is enriched with asset, network, user, and response details, enabling robust security monitoring, threat analysis, and compliance reporting for operational technology environments.

18 cols

  • event_type
  • event_datetime
  • severity
  • source_ip
  • +14
Open in factory
event_type
unauthorized_access
severity
critical
source_ip
198.51.100.23

Maintenance & downtime

Equipment Maintenance

Equipment maintenance activities, detailing service dates

This dataset provides comprehensive logs of equipment maintenance activities, detailing service dates, technician information, replaced parts, associated costs, and future service schedules. It enables organizations to track asset reliability, optimize maintenance cycles, and analyze operational expenses for improved decision-making.

15 cols

  • asset_name
  • technician_name
  • parts_replaced
  • cost_labor
  • +11
Open in factory
asset_name
HVAC System Main Hall
technician_name
Maria Thompson
parts_replaced
Filter-A1001

Quality & production

Manufacturing Process Water Usage Logs

Volumes, sources, destinations, and compliance indicators

This dataset contains detailed, timestamped logs of water consumption and discharge events across manufacturing process stages and facilities, including volumes, sources, destinations, and compliance indicators. It enables sustainability and operations teams to monitor water efficiency, track regulatory compliance, and identify opportunities for waste reduction or process improvement.

14 cols

  • process_stage_name
  • water_volume_liters
  • water_quality_indicator
  • facility_name
  • +10
Open in factory
process_stage_name
Washing
water_volume_liters
3850.5
facility_name
North Valley Plant

Suppliers & supply chain

Manufacturing Plant Supply Chain Bottlenecks

Workflow stages, root causes, impact severity, recurrence

This dataset provides detailed records of supply chain bottlenecks within manufacturing plants, including workflow stages, root causes, impact severity, recurrence, and resolution actions. It enables operational managers to visualize interruptions, analyze trends, and optimize throughput by identifying and resolving recurring issues. The data supports efficiency improvement, risk mitigation, and strategic decision-making in manufacturing operations.

27 cols

  • plant_name
  • plant_location_street
  • bottleneck_type
  • workflow_stage
  • +23
Open in factory
plant_name
Central Manufacturing
plant_location_street
1200 Industrial Blvd
bottleneck_type
equipment-failure

Suppliers & supply chain

EV Battery Supply Chain Tracking

EV battery components across manufacturing, transport, usage, recycling

This dataset provides granular tracking of EV battery components across manufacturing, transport, usage, recycling, and reuse phases, with detailed location, timing, and sustainability metrics. It enables comprehensive analysis of circular supply chain efficiency, traceability, and ESG impacts for strategic planning and regulatory compliance in the electric vehicle industry.

40 cols

  • component_type
  • manufacturer_name
  • material_source_type
  • transport_mode
  • +36
Open in factory
component_type
cell
manufacturer_name
VoltCore Manufacturing
material_source_type
mined

Energy, water & emissions

Factory Energy Usage Optimization

Energy consumption, costs, and sustainability initiatives across multiple production

This dataset provides detailed records of energy consumption, costs, and sustainability initiatives across multiple production lines in manufacturing plants. It is designed to help operations leaders and sustainability managers identify inefficiencies, track energy reduction efforts, and support ESG compliance reporting, making it a valuable resource for optimizing energy usage and improving environmental performance.

26 cols

  • energy_consumed_kwh
  • energy_cost_usd
  • energy_source
  • initiative_energy_saved_kwh
  • +22
Open in factory
energy_consumed_kwh
3400.5
energy_cost_usd
612.09
energy_source
grid

Maintenance & downtime

Manufacturing IoT Predictive Maintenance

Operational status, issue forecasts, and recommended actions

This dataset provides granular, real-time sensor readings and predictive maintenance insights from manufacturing machinery, including operational status, issue forecasts, and recommended actions. It enables operations managers to proactively schedule maintenance, minimize unplanned downtime, and optimize supply chain resilience through data-driven decision-making.

18 cols

  • predicted_issue
  • maintenance_performed
  • scheduled_maintenance_date
  • last_maintenance_date
  • +14
Open in factory
location_name
Plant North
machine_type
Hydraulic Press X2
sensor_type
pressure

Energy, water & emissions

Factory Carbon Emissions Monitoring

Energy usage, production output, and ESG compliance indicators

This dataset provides granular, real-time carbon emission measurements for individual production lines within manufacturing facilities, including energy usage, production output, and ESG compliance indicators. It enables operations managers and sustainability teams to pinpoint emission hotspots, optimize processes, and ensure regulatory compliance for environmental reporting and green initiatives.

17 cols

  • factory_name
  • factory_location_street
  • carbon_emission_kg
  • emission_source_type
  • +13
Open in factory
factory_name
Omega Steelworks
factory_location_street
420 Liberty Ave
carbon_emission_kg
432.3

Quality & productionTop 10 most opened

Manufacturing Line Defect Counts

Shift-level defect counts for each product type and manufacturing line

This dataset provides detailed, shift-level defect counts for each product type and manufacturing line, enabling granular quality control analysis and predictive modeling. With fields for defect categories, production volumes, and calculated defect rates, it supports both operational monitoring and advanced AI-driven analytics to improve manufacturing processes.

9 cols

  • defect_type
  • defect_count
  • production_line
  • defect_rate
  • +5
Open in factory
defect_type
Surface
defect_count
3
production_line
Line-1

Maintenance & downtimeTop 10 most opened

Industrial Equipment Downtime Logs

Timestamps, causes, maintenance actions, and impact metrics such as cost

This dataset contains detailed logs of downtime events for critical manufacturing equipment, including timestamps, causes, maintenance actions, and impact metrics such as cost and production loss. It enables reliability analysis, maintenance optimization, and cost reduction strategies for manufacturing operations. The dataset is structured for easy integration with analytics platforms and supports granular tracking of equipment performance.

17 cols

  • equipment_name
  • equipment_type
  • downtime_start
  • downtime_end
  • +13
Open in factory
equipment_name
CNC Lathe A1
equipment_type
CNC machine
downtime_start
2023-04-12T08:15:00

Factory sensors & security

Smart Factory Sensor Output Data

Machine, line, and factory identifiers, sensor types and values

This dataset contains detailed time-stamped sensor readings from advanced manufacturing lines, including machine, line, and factory identifiers, sensor types and values, operational statuses, and anomaly flags. It enables granular analysis for predictive maintenance, process optimization, and real-time anomaly detection, supporting data-driven manufacturing operations.

15 cols

  • sensor_type
  • sensor_unit
  • sensor_value
  • status
  • +11
Open in factory
sensor_type
temperature
sensor_unit
Celsius
sensor_value
22.5

Factory sensors & security

IoT Sensor Anomaly Alerts

Sensor readings, anomaly types, severity levels, location data

This dataset provides detailed event logs of anomaly alerts generated by distributed IoT sensors, including sensor readings, anomaly types, severity levels, location data, and resolution status. It is ideal for predictive maintenance, security event detection, and operational analytics in environments with large-scale sensor deployments.

17 cols

  • sensor_type
  • anomaly_type
  • sensor_value
  • location_name
  • +13
Open in factory
sensor_type
temperature
anomaly_type
threshold_breach
sensor_value
87.2

What’s inside. Column by column.

Columns and codes found in the sample rows of all 91 manufacturing datasets.

Most common columnsDatasets, of 91
  1. supplier_id25
  2. supplier_name24
  3. operator_id23
  4. machine_id17
  5. compliance_status15
  6. factory_id15
  7. sensor_id15
  8. log_id14
  9. location12
Standard codes in the sample rowsDatasets, of 91
  1. ISO 3166 countries35
  2. ISO 4217 currencies2

Not quite what you need? Describe it.

One sentence in. A dataset with that pattern out.

  • Over 7 mm/s fails 5×
  • Real machine types
  • 2% missing temperatures
Preview 20 rows freeNo signup. No card.
Failure rate by vibration (mm/s)
0%10%20%3%<33%3–54%5–717%7+1
Sample rows for: Machine sensor readings where machines vibrating above 7 mm/s fail five times as often, with real machine types and 2% of temperatures missing.
machinevibration_mm_stemp_cfailed
CNC lathe8.271.4yes
Press brake2.948.0no
CNC mill7.6—yes
Injection moulder4.155.3no

A pattern you asked for Everything else

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