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Browse Data
4 listingsClinical-trial outcomes 2020–2026 (normalized endpoints)
Analysis-ready table of 14,132 ClinicalTrials.gov studies that started in 2020 or later and have posted results. Each row is one NCT ID with normalized phase, primary condition, shortened primary endpoint, result_status, and a primary_endpoint_class taxonomy (OS, PFS, SAFETY_AE, QOL_PRO, etc.) from rule-based matching of registered measure names. Source: ClinicalTrials.gov API v2. U.S. government public data; commercial use permitted. Do not imply NIH endorsement.
Humanoid Robot Preliminary FMEA - 42 Failure Modes
Original analysis-ready CSV design FMEA covering 42 generic humanoid-robot failure modes. Includes effects, causes, typical controls, severity/occurrence/detection scores, RPN, recommended actions, verification methods, provenance and limitations. A preliminary engineering aid, not certification or a substitute for architecture-specific safety analysis.
Clinical Trial Outcomes — Post-2020 Normalized Snapshot
A reproducible normalized snapshot of 38,638 ClinicalTrials.gov studies with results first posted from 2020 onward. Includes linked trial metadata, 326,638 endpoint rows, 2,602,129 group/category measurement rows, and 149,059 statistical-analysis rows across four CSV tables. Packaged with a data dictionary, provenance, exact official API query, per-file SHA-256 hashes, and a machine-readable validation report. Contact fields and unnecessary personal data are excluded. The listing price covers extraction, normalization, QA, and packaging; source data remains subject to ClinicalTrials.gov terms and attribution.
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.