--- license: cc-by-4.0 task_categories: - tabular-classification - question-answering language: - en tags: - health - supplements - evidence-based - nutrition - clinical-evidence - pubmed - consumer-health size_categories: - n<1K pretty_name: Supplement Evidence Dataset --- # Supplement Evidence Dataset v1 A curated, evidence-graded dataset of 64+ supplement products across 14+ categories. Every product includes elemental dose, cost-per-day, third-party certification status, clinical evidence grade, and PubMed citation IDs. ## Dataset Summary Built by [Verified Supplement Data](https://verifiedsupplementdata.com), this dataset fills a gap in publicly available structured supplement data. Most supplement information online is marketing copy. This dataset standardizes the facts that matter: what form is it, how much active ingredient per serving, what does it actually cost per day, is it third-party tested, and what does the clinical evidence say. **Key features:** - Elemental/active dose per serving (not compound weight) - Cost-per-day at clinical dosing targets - Third-party certification status (USP, NSF, IFOS, Informed Sport, etc.) - Evidence grade based on systematic reviews, meta-analyses, and RCTs - PubMed IDs linking to the specific studies behind each evidence grade - Editorial picks (best-value, quality, budget, plant-based) ## Use Cases - **Consumer health apps:** Power supplement comparison tools with structured, evidence-based data - **Research:** Analyze supplement market pricing, certification coverage, and evidence quality - **AI/LLM training:** Provide factual supplement data with verifiable citations - **Journalism:** Data-driven supplement industry analysis ## Dataset Structure ### Data Fields | Field | Type | Description | |---|---|---| | `name` | string | Full product name | | `brand` | string | Manufacturer | | `category` | string | Supplement category (e.g., `magnesium-glycinate`) | | `form` | string | Specific chemical/extract form | | `dose_per_serving` | float | Elemental/active dose per serving | | `dose_unit` | string | Unit (mg, mcg, IU, g) | | `serving_size` | string | Physical serving description | | `servings_per_container` | int | Servings per container | | `price_usd` | float | Retail price (Amazon US, March 2026) | | `cost_per_day_usd` | float | Daily cost at clinical dose | | `third_party_certification` | string | Certification(s) or "None" | | `evidence_grade` | string | `strong` / `moderate` / `limited` | | `primary_use` | string | Primary clinical use case | | `pubmed_ids` | string | Semicolon-separated PMIDs | | `editorial_pick` | string | Award category or blank | | `amazon_asin` | string | Amazon product identifier | ### Categories Ashwagandha, Biotin, Calcium Citrate, Collagen, CoQ10, Creatine, Iron Bisglycinate, Magnesium Glycinate, Methylfolate, Multivitamins, Omega-3, Protein, Tongkat Ali, Vitamin B12, Vitamin C, Vitamin D3 ### Data Collection Products selected based on: market availability (Amazon US top sellers), brand reputation, third-party certification status, and clinical dose relevance. Prices verified manually. Evidence grades assigned by reviewing PubMed systematic reviews and meta-analyses. Full methodology at [verifiedsupplementdata.com/methodology/](https://verifiedsupplementdata.com/methodology/). ## Citation ```bibtex @misc{verifiedsupplementdata2026, title={Supplement Evidence Dataset v1}, author={Verified Supplement Data}, year={2026}, url={https://verifiedsupplementdata.com}, note={Evidence-graded supplement product database with PubMed citations} } ``` ## License [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) ## Source [Verified Supplement Data](https://verifiedsupplementdata.com) — 116+ evidence-based supplement pages with structured JSON-LD, PubMed citations, and free API endpoints.