US Food Bioactive Content
The polyphenol content of foods - the antioxidant and phytoestrogen compounds that appear in NO standard nutrition table - assembled from USDA's three special-interest bioactive databases into one clean long table. Flavonoids (Release 3.3: flavonols, flavones, flavanones, flavan-3-ols and anthocyanidins), Proanthocyanidins (Release 2.1: monomers through polymers) and Isoflavones (Release 2.1: daidzein, genistein, glycitein - the soy phytoestrogens), each mapped to its food, food group and compound class with the amount per 100 g. USDA ships these ONLY as legacy MS Access files on an ARS file server - which is exactly why no clean version exists; we read the Access databases directly, resolve the drifting column spellings and de-duplicate to one tidy (database × food × compound) table. Keyed by the legacy NDB number so it joins straight to the nutrition-composition dataset. Public domain (U.S. Government work).
- Source
- USDA ARS
- Licence
- Redistributable open data
- Quality
- QC clean · 0 failures
- Format
- Apache Parquet + dictionary
Safe to train on
Built only from a named, redistributable official source under a documented open licence - not scraped web data. No copyright grey zone, no personal data. Ships machine-readable Croissant metadata (ML Commons - loads in Hugging Face / Kaggle / Google), an AI training-licence manifest documenting source, licence and provenance for your model's data governance, and a machine-readable data dictionary (drop it into an agent / RAG prompt so the model knows every column) - all inspectable before you buy.
What's included
- Food → bioactive-compound content that is in NO mainstream nutrition table
- Flavonoids (5 subclasses), proanthocyanidins, isoflavones and glucosinolates (cruciferous veg) - one tidy long table
- Per-compound amount per 100 g, with compound class and USDA food group
- Rescued from legacy MS Access files (no CSV/Excel exists) - the whole reason it's rare
- Keyed by NDB number → joins directly to US Food Nutrition Composition
- Audiences: antioxidant/polyphenol research, soy/phytoestrogen studies, health & diet apps
- Public domain (USDA ARS special-interest databases) - food-composition facts only, no personal data
- Source: U.S. Department of Agriculture, Agricultural Research Service (public domain)
Schema
| Column | Type | Description | Filled | Distinct |
|---|---|---|---|---|
| source_db | str | Which USDA database: Flavonoids, Proanthocyanidins or Isoflavones | 100.0% | 4 |
| ndb_no | str | Legacy NDB / Standard-Reference food number (join key) | 91.2% | 1,005 |
| food | str | Food name / description | 100.0% | 1,156 |
| food_group | str | USDA food group (where mapped) | 97.3% | 19 |
| compound | str | Bioactive compound (e.g. Quercetin, Genistein, (-)-Epicatechin) | 100.0% | 73 |
| compound_class | str | Compound class / subclass (e.g. Flavonols, Isoflavones) | 100.0% | 8 |
| value | float | Amount of the compound per 100 g of edible portion | 100.0% | 2,015 |
| unit | str | Unit of the amount (mg) | 100.0% | 2 |
Sample & preview
Every purchase ships as Apache Parquet with a data dictionary and the full QC report. A free sample (first rows + schema) is downloadable here - confirm fit before you buy. Source: USDA ARS (redistributable open data; attribution passes through - see our Licence).
Don't trust screenshots - drop the sample into your notebook right now.
import pandas as pd df = pd.read_parquet("us-food-bioactive-content_sample.parquet") df.info() # typed columns, gap-aware, ready to join⬇ Download free Parquet sample or CSV for Excel
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