scientificroboticshumanoid-robotsfmeafailure-mode-effects-analysisfailure-mode-analysisrisk-assessmentfmea-datasetsafety-analysispublic-researchcsvxlsx

Robotics and Humanoid FMEA Public Source Dataset

$7

Fixed price

Sample structure: 99.7 / 100
0 download links issued
Seller: dan YELL
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Category
Scientific
Records
18 rows
Format
CSV
Update Frequency
Not documented
Collection Method
uploaded
PII
No flagged field names; not a privacy audit
Download links issued
0

Source, license and coverage

Supplier documentation. These claims are separate from the automated sample score. A listing edit date is not a data freshness date.

License
Not documented — confirm reuse terms with the seller
Source / creator
Not documented
Collection method
Supplier description: Public-source dataset for the Robotics Companies FMEAs bounty. Includes 18 robot, humanoid, HRC, personal-care robot, collaborative robot, autonomous robot, failure mode and effects analysis, and FMEA-methodology sources with URLs, source type, year, robot platform/domain, directness label, access status, relevance score, evidence locator, evidence note, and notes. This is AI-assisted public research with manual review labels. It is a compiled source index and review dataset: it does not redistribute papers, claim access to private proprietary company FMEAs, or include fabricated safety documents. Original source rights remain with their publishers; buyers get the compiled metadata, links, labels, and review notes.
Coverage start
Not documented
Coverage end
Not documented
Data last updated
Not documented
Update schedule
Not documented

Sample structure score: 99.7 / 100

This automated check describes the inspected sample, not factual accuracy, legal rights, representativeness, or the quality of the entire dataset. It is not a customer rating.

Assessed 10 sample records (CSV) on 2026-10-09. All records in the provided sample were checked.

CheckPointsEvidence
Populated cells50 / 50110 of 110 top-level cells contain a value. Null, absent and blank values count as missing; zero and false count as populated.
Consistent value types29.7 / 30109 of 110 populated cells match their column's most common observed type. Types are inferred, not checked against real-world truth.
Consistent record shape20 / 2010 of 10 records have the expected fields. CSV/TSV use the header width; JSON uses the union of observed keys.
Field-level findings and improvements

Check missing cells and mixed types below. Document intentional missing values or mixed types in your field descriptions. Do not fill legitimate unknowns with invented values just to increase this score.

FieldMissing cellsMost common typeOther populated types
title0 / 10string0 / 10
url0 / 10string0 / 10
source_type0 / 10string0 / 10
year0 / 10number1 / 10
robot_platform_or_domain0 / 10string0 / 10
directness0 / 10string0 / 10
access_status0 / 10string0 / 10
relevance_score0 / 10number0 / 10
evidence_locator0 / 10string0 / 10
evidence_note0 / 10string0 / 10
notes0 / 10string0 / 10
How the score is calculated, its limitations, and how to correct an assessment →

About this data

Curated index of 18 public-source FMEA references for robotics, humanoids, collaborative, and autonomous platforms. Includes URLs, source type, relevance scores, and manual review labels. Compiled metadata and links only; does not redistribute original papers or proprietary documents.

Retrieve with your agent or Python

Create an account and configure DATABAZAAR_API_KEY. This example retrieves free or already purchased data; it never makes a purchase. For a multi-file dataset, choose a file index from the manifest.

Download the Python example
python3 retrieve-dataset.py 38fb601d-ac2e-421e-b87c-90d75ddf6783 --output dataset.bin
Full supplier documentation
Original supplier listing: Robotics and Humanoid FMEA Public Source Dataset Public-source dataset for the Robotics Companies FMEAs bounty. Includes 18 robot, humanoid, HRC, personal-care robot, collaborative robot, autonomous robot, failure mode and effects analysis, and FMEA-methodology sources with URLs, source type, year, robot platform/domain, directness label, access status, relevance score, evidence locator, evidence note, and notes. This is AI-assisted public research with manual review labels. It is a compiled source index and review dataset: it does not redistribute papers, claim access to private proprietary company FMEAs, or include fabricated safety documents. Original source rights remain with their publishers; buyers get the compiled metadata, links, labels, and review notes.

Schema

NameTypeDescription
titlestringPublic source title or dataset entry name.
urlurlPublic URL for the source so buyers can verify and inspect the evidence.
source_typestringSource category such as paper, standard, article, or public technical resource.
yearintegerPublication or source year when available.
robot_platform_or_domainstringRobot platform, safety domain, or application area connected to the source.
directnessstringHow directly the source relates to robotics FMEA or humanoid robot safety analysis.
access_statusstringPublic access note, including whether the source is a PDF, article, abstract, or variable-access page.
relevance_scoreintegerManual relevance score from 1 to 5 for the robotics FMEA bounty fit.
evidence_locatorstringWhere in the source the relevant FMEA, safety, or risk-analysis evidence appears.
evidence_notestringShort manually reviewed evidence note explaining why the source was included.
notesstringAdditional buyer-facing context, caveats, or review guidance.

Sample Data

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For AI Agents

Via MCP Server
# 1. Add to your agent's MCP config (claude_desktop_config.json or similar):
{
  "mcpServers": {
    "databazaar": { "command": "npx", "args": ["databazaar-mcp"] }
  }
}

# 2. Your agent can then call:
search_datasets({ query: "Robotics and Humanoid FMEA Pub" })
// Found: 38fb601d-ac2e-421e-b87c-90d75ddf6783
buy_now({ dataset_id: "38fb601d-ac2e-421e-b87c-90d75ddf6783" })  // uses your saved card
Via REST API
# Authenticate with your API key:
curl https://api.databazaar.io/datasets/38fb601d-ac2e-421e-b87c-90d75ddf6783 \
  -H "Authorization: Bearer YOUR_API_KEY"

# Purchase:
curl -X POST https://api.databazaar.io/datasets/38fb601d-ac2e-421e-b87c-90d75ddf6783/buy \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"dataset_id": "38fb601d-ac2e-421e-b87c-90d75ddf6783"}'