README.md

metadata

license: cc-by-4.0
task_categories:
  - other
tags:
  - electronics
  - supply-chain
  - components
  - risk-analysis
  - chinese-manufacturers
  - hardware
size_categories:
  - n<1K

Electronic Components Supply Chain Dataset

Dataset Description

This dataset contains 791 electronic components collected from the Nexar API, enriched with supply chain risk analysis and supplier information. The dataset combines general electronic components and telecom-specific components, designed for supply chain transparency research, risk assessment, and component sourcing analysis.

Dataset Summary

• Total Components: 791
• Source: Nexar API (via Octopart)
• Collection Date: 2024
• Primary Use Case: Supply chain risk analysis, component sourcing, Chinese manufacturer identification

Dataset Structure

Each component entry includes:

• Basic Information:

  • mpn: Manufacturer Part Number (unique identifier)
  • manufacturer: Manufacturer nam6e
  • manufacturer_country: Country of origin
  • category: Component category
  • description: Component description

• Supply Chain Data:

  • suppliers: Array of suppliers with stock levels, prices, and SKUs
  • datasheets: Array of datasheet URLs
  • alternatives: Alternative part numbers

• Risk Analysis:

  • is_chinese: Boolean flag indicating Chinese origin
  • confidence_score: Confidence in origin classification (0-1)
  • risk_score: Supply chain risk score (0-1)
  • risk_factors: Array of identified risk factors

• Raw Data:

  • nexar_data: Complete raw data from Nexar API

Dataset Statistics

• Top Manufacturers: Analog Devices (195), Texas Instruments (184), STMicroelectronics (100), Espressif Systems (63), GigaDevice (48)
• Datasheet Coverage: 81.2% (642/791 components)
• Chinese Components: 14 (1.8%) - Telecom-focused dataset with Western manufacturers
• Supplier Coverage: 97.6% (772/791 components have supplier information)
• Supplier Diversity: Multiple suppliers per component (DigiKey, Mouser, TME, etc.)

Use Cases

1. Supply Chain Risk Assessment: Identify components with high supply chain risks
2. Component Sourcing: Find alternative suppliers and pricing information
3. Research: Analyze electronic component market and supply chain dependencies
4. BOM Analysis: Assess Bill of Materials for supply chain vulnerabilities

Dataset Schema

{
  "mpn": "string",
  "manufacturer": "string",
  "manufacturer_country": "string",
  "category": "string",
  "description": "string",
  "datasheets": ["string"],
  "suppliers": [
    {
      "name": "string",
      "stock": "integer",
      "price": "float",
      "sku": "string"
    }
  ],
  "alternatives": ["string"],
  "is_chinese": "boolean",
  "confidence_score": "float",
  "risk_score": "float",
  "risk_factors": ["string"],
  "nexar_data": "object"
}

Data Collection

The data was collected using the Nexar API (Octopart) from two sources:

1. General Components (404 components): Broad electronic component collection
2. Telecom Components (387 components): Focused on telecom/photonics components

Important: This dataset is for research and educational purposes only. The underlying component data is sourced from Octopart/Nexar. Users must comply with Octopart's Terms & Conditions when using this dataset.

Data was enriched with:

• Manufacturer country identification
• Chinese origin classification
• Supply chain risk scoring
• Supplier aggregation
• Datasheet links

Limitations

• Dataset size: 791 components (curated dataset, not exhaustive)
• Price and stock data may be outdated
• Risk scores are estimates based on origin and supply chain factors
• Telecom dataset has lower Chinese component percentage (1.8%) due to focus on Western manufacturers
• Some components may have incomplete supplier information

License

Creative Commons Attribution 4.0 International (CC BY 4.0)

This dataset is licensed under the Creative Commons Attribution 4.0 International License. You are free to:

• Share — copy and redistribute the material in any medium or format
• Adapt — remix, transform, and build upon the material for any purpose, even commercially

Under the following terms:

• Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made

For full license text, see: https://creativecommons.org/licenses/by/4.0/

Data Source and Attribution

Data Source: This dataset contains data collected via the Nexar API (Octopart). The original component information, supplier data, and pricing information are sourced from Octopart/Nexar.

Enrichment: This dataset includes additional analysis and enrichment performed by the dataset creator:

• Manufacturer country identification
• Chinese origin classification
• Supply chain risk scoring
• Component categorization and analysis

Terms of Use: This dataset is published for research and educational purposes only. For commercial use or redistribution of the underlying Octopart data, please refer to Octopart Terms & Conditions and Nexar API Terms.

Disclaimer: This dataset is provided "as is" for research purposes. The dataset creator is not affiliated with Octopart or Nexar. Users are responsible for complying with Octopart's terms of service when using this dataset.

Acknowledgments

• Nexar/Octopart for providing the component data API
• The open-source community for supply chain transparency tools