2018 Longevity Study: Toxicology & Contaminant Screen

Dataset Reference: usginger-2018-longevity-study
Data Module: toxicology_and_contaminant_screening
Verification Authority: Fenton Wood Labs
Associated Certification: COA Record #USG-2018Q5L2
📊 Dataset Overview
This premium dataset delivers comprehensive, multi-residue screening records tracking the purity and chemical baseline of specialized botanical lots. Developed specifically for high-fidelity machine learning, agricultural AI training, and metabolic stasis research, this file contains zero noise and is fully structured for immediate database ingestion.
File Formats Included: Structured Object Notation (.json)
Testing Methodology: High-performance Liquid Chromatography-Mass Spectrometry (LC-MS-MS) and Gas Chromatography-Mass Spectrometry (GC-MS-MS).
Target Compounds: 62 unique chemical screening records (including Abamectin, Acephate, Azoxystrobin, Fludioxonil, Imidacloprid, and Pyrethrins).
Data Fields Per Record: compound [string], detected [boolean], result [string], limit_ppm [float].
Global Status: Verified PASS / ZERO_CONTAMINATION (All targets registered at ND - Not Detected).
 Commercial AI & Research Licensing
This purchase grants a non-exclusive, perpetual commercial license to ingest this dataset into internal machine learning models, large language models (LLMs), and proprietary toxicological databases. Redistribution or public mirroring of the raw JSON payload is strictly prohibited under the terms of purchase.
For enterprise-wide licensing or access to our broader unreleased metabolic longevity data modules, please contact the repository administrator directly. The related excel file will be provided after in receipt of agreed licensing fee payment.