diff --git a/docs/DATA-SOURCES.md b/docs/DATA-SOURCES.md
index bc3d4c3..3743bd9 100644
--- a/docs/DATA-SOURCES.md
+++ b/docs/DATA-SOURCES.md
@@ -13,8 +13,8 @@ What feeds the models, what each source unlocks, its license, and how to get it.
 |--------|---------|---------|--------|-----------|
 | **ChemTastesDB v2.0** | sweet/bitter/umami training + sour/salty rule data (primary) | CC-BY-4.0 | ✅ in use | Zenodo record `14963136`, direct download (see `training/SETUP.md`). Column mapping verified. |
 | **cosylab/bittersweet** | more sweet/bitter volume | AGPL-3.0 | ⬜ to get | `git clone github.com/cosylabiiit/bittersweet` → `bittersweet/data/*.tsv`. AGPL: keep a CC-BY-clean build with `INCLUDE_COSYLAB=False`, or opt in deliberately. |
-| **FlavorDB** | ~25k molecules taste+odor + natural-source mapping | confirm terms | ⬜ to get | REST/JSON API at `cosylab.iiitd.edu.in/flavordb` → `flavordb_taste.csv`. Map taste fields; **[VERIFY] columns** before trusting. |
-| **UMP442 / BIOPEP-UWM** | more umami examples (only 283 now) | confirm terms | ⬜ to get | BIOPEP-UWM umami DB (form-driven) → `umami_list.csv`. |
+| **FlavorDB** | ~25k molecules taste+odor + natural-source mapping | **CC BY-NC-SA 3.0** | ❌ skip | NonCommercial — incompatible with a commercial product. |
+| **UMP442 / BIOPEP-UWM** | more umami examples | none / unclear | ❌ skip | BIOPEP-UWM is web-only; the `Shoombuatong/Dataset-Code` repost has **no LICENSE** (all-rights-reserved) and is umami *peptide* data (different class from our small-molecule head). |
 | **SweetenersDB v2.0** | the sweetness-**intensity** regressor | **MIT** | ✅ in use | direct CSV from `github.com/chemosim-lab/SweetenersDB` (`SweetenersDB_v2.0.csv`, 316 cmpds, `logSw` column). R²≈0.82. |
 | **Pyrfume / Leffingwell** | the **aroma model** (OpenPOM) — issues #17 / #18 | per-set; confirm | ⬜ to get | `git clone github.com/pyrfume/pyrfume-data`; Leffingwell odor set. Separate, version-fragile effort. |
 | **FEMA GRAS / FDA SAF** | GRAS cross-reference + dosing/OAV lookups | gov public / FEMA | ⬜ to get | FDA "Substances Added to Food" (public domain) → `gras_reference.parquet`; FEMA use-level PDFs → `properties.parquet`. **Verify every scraped dosing number.** |
diff --git a/docs/SOURCES.md b/docs/SOURCES.md
index 95f5f11..c8ab713 100644
--- a/docs/SOURCES.md
+++ b/docs/SOURCES.md
@@ -35,10 +35,10 @@ record of provenance, not legal advice. Get an IP/OSS-license review before ship
 **Taste**
 - **ChemTastesDB** — Rojas et al., curated taste dataset (sweet/bitter/umami/sour/salty/tasteless). Zenodo, DOI 10.5281/zenodo.5747393 (and the extended record). License **CC-BY-4.0** (commercially clean with attribution).
 - **cosylab BitterSweet** — Bagler lab (IIIT-Delhi). Code **AGPL-3.0** (bind-aware: train-your-own-on-data is the safe pattern; `INCLUDE_COSYLAB=False` drops it for clean licensing).
-- **FlavorDB** — Bagler lab (IIIT-Delhi); taste + odor + natural-source associations. (Confirm terms.)
-- **SweetenersDB** — Chéron et al.; sweetness *intensity* (vs sucrose) for the regressor.
+- **FlavorDB** — Bagler lab (IIIT-Delhi); taste + odor + natural-source associations. License **CC BY-NC-SA 3.0** (NonCommercial) — incompatible with a commercial product; **not used**.
+- **SweetenersDB v2.0** — Bouysset et al. (2020) *Food Chem.*, building on Chéron et al. (2017); relative-to-sucrose sweetness *intensity* for the regressor. Released **MIT** by the authors' own lab (ChemSenSim, `github.com/chemosim-lab/SweetenersDB`) — the paywall is only on the journal article, not the authors' own data. **In use.**
 - **BitterDB** *(future)* — bitterness intensity, if/when added.
-- **UMP442 / BIOPEP-UWM** — umami references.
+- **UMP442 / BIOPEP-UWM** — umami references. BIOPEP-UWM is web-only; the GitHub repost `Shoombuatong/Dataset-Code` carries **no license** (all-rights-reserved) and is umami *peptide* data (a different class from our small-molecule head). **Not used.**
 
 **Aroma**
 - **Pyrfume** + **Leffingwell** odor datasets — SMILES + multilabel odor descriptors; the training data behind OpenPOM. (Pyrfume project; confirm per-dataset terms.)