Attribute thalassemia/spas_agri to Mendeley Data

README.md

@@ -68,9 +68,9 @@ The complete catalogue is exposed as `imputify.DATASETS` and the literal type as
 | `titanic`           | 1 043 |  7 |  5 | 2 | `category` | OpenML `titanic` |
 | `heart_disease`     |   270 | 13 | 13 | 0 | `category` | UCI Heart Disease / OpenML `heart-statlog` |
 | `blood_transfusion` |   748 |  4 |  4 | 0 | `category` | UCI Blood Transfusion Service Center |
-| `thalassemia`       |   606 | 18 | 12 | 6 | `object`   | Kaggle-derived clinical dataset |
+| `thalassemia`       |   606 | 18 | 12 | 6 | `object`   | [Mendeley Data `8kcdkxmcjw`](https://data.mendeley.com/datasets/8kcdkxmcjw/1) — Pabna, Bangladesh thalassemia cohort, Data in Brief 2025 |
 | `ilpd`              |   583 | 10 |  9 | 1 | `category` | UCI Indian Liver Patient Dataset (ILPD) |
-| `spas_agri`         | 4 191 | 14 |  9 | 5 | `object`   | Kaggle-derived agricultural dataset |
+| `spas_agri`         | 4 191 | 14 |  9 | 5 | `object`   | [Mendeley Data `cphdw4z5kw`](https://data.mendeley.com/datasets/cphdw4z5kw/2) — SPAS-Dataset-BD, Bangladesh precision agriculture, Data in Brief 2025 |
 
 Counts come from running the loader once: rows = `len(X)`, features = `X.shape[1]`,
 numeric/categorical split = `select_dtypes(...)`.
@@ -92,5 +92,5 @@ Categorical features are stored as pandas `category` (titanic) or `object`
 
 Datasets carry their original licences. `iris`, `wine`, `diabetes`, and `breast_cancer`
 ship with scikit-learn (BSD-compatible). The UCI / OpenML datasets are redistributed
-under their respective terms — cite the original sources in publications. The
-`thalassemia` and `spas_agri` derivatives keep the upstream Kaggle terms.
+under their respective terms. The `thalassemia` and `spas_agri` derivatives are from
+Mendeley Data (CC BY 4.0); cite the Data in Brief 2025 papers in publications.