| --- |
| license: cc-by-nc-4.0 |
| pretty_name: SuppDB — Supplements & Nootropics Dataset (Free Sample) |
| tags: |
| - health |
| - chemistry |
| - supplements |
| - nootropics |
| - nih-dsld |
| - pubchem |
| - recommender-systems |
| size_categories: |
| - 1K<n<10K |
| --- |
| |
| # 💊 SuppDB — Supplements & Nootropics Dataset (Free Sample) |
|
|
| A **free sample** of SuppDB: a structured dataset of real supplement & nootropic products built **exclusively from the public [NIH Dietary Supplement Label Database (DSLD)](https://dsld.od.nih.gov/)** — every active ingredient normalized to **milligrams**, proprietary blends flagged where the dose is undisclosed, and compounds enriched with **NIH PubChem** chemical identity. Think *INCIDecoder for supplements*: one row per active ingredient, with dose, form, safety reference, and molecular identity. |
|
|
| **This sample contains 2,249 ingredient records across 300 real products from 218 brands.** |
|
|
| The **full dataset covers 17,000+ products, 2,000+ brands, 115,000+ active-ingredient records, and 40,000+ proprietary-blend flags** (SQLite · CSV · JSON). |
|
|
| ## Get the Full Dataset |
|
|
| * 🔗 **Official Portal:** [suppdb.net](https://supplements-nootropics-suppdb.pages.dev) — full snapshot $99 one-time |
| * 🏆 **Kaggle:** [SuppDB Supplements Sample](https://www.kaggle.com/datasets/ahtiticheamine/suppdb-supplements-sample) |
| * 💊 **Interactive Explorer:** [Dataset Sample Explorers Space — SuppDB tab](https://huggingface.co/spaces/Ichlibitiche/dataset-sample-explorers) |
|
|
| ## Key Columns |
|
|
| | Column | Description | |
| | :--- | :--- | |
| | `brand`, `product_name`, `upc_barcode`, `form_type` | Product identity as printed on the label | |
| | `ingredient`, `ingredient_form`, `ingredient_category` | Active ingredient per row | |
| | `amount_per_serving_mg` | Dose normalized to mg (`mcg`, `g`, substance-specific `IU` handled correctly) | |
| | `is_proprietary_blend` | `1` where the dose is hidden in a proprietary blend (`amount = 0`) — transparency, not omission | |
| | `recommended_daily_mg`, `upper_safety_limit_mg` | NIH DRI reference intakes; NULL where no official value exists | |
| | `pubchem_cid`, `molecular_formula`, `molecular_weight`, `canonical_smiles`, `inchikey` | PubChem chemistry — InChIKey canonicalizes the same molecule across label names | |
| | `dsld_label_id`, `source_url` | Exact NIH DSLD label page — every record re-verifiable | |
|
|
| ## Quick Start |
|
|
| ```python |
| import pandas as pd |
| |
| df = pd.read_csv("hf://datasets/Ichlibitiche/suppdb-supplements-sample/suppdb_sample.csv") |
| print(len(df), "ingredient records,", df["product_id"].nunique(), "products,", df["brand"].nunique(), "brands") |
| hidden = df[df["is_proprietary_blend"] == 1] |
| print(len(hidden), "ingredients with doses hidden in proprietary blends") |
| ``` |
|
|
| ## Use Cases |
|
|
| - AI health co-pilots & supplement recommendation apps (structured dose + chemistry data) |
| - Ingredient/dose comparison and proprietary-blend transparency tools |
| - ML / RAG corpora over supplement labels |
| - Formulation, market, and assortment research across brands and ingredient categories |
|
|
| ## License |
|
|
| Sample data: **CC BY-NC 4.0** — attribution, non-commercial. Full dataset commercially licensed at [suppdb.net](https://supplements-nootropics-suppdb.pages.dev); underlying facts are public-domain U.S. Government data (NIH DSLD + PubChem) — the license covers SuppDB's curated, normalized compilation. **Not medical advice** — always verify against the current physical label. Contact: `suppdb.doorframe589@simplelogin.com`. |
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|
