Update README.md

README.md

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 This repository contains time series datasets that can be used for evaluation of univariate & multivariate forecasting models.
 
+The main focus of this repository is on datasets that reflect real-world forecasting scenarios, such as those involving covariates, missing values, and other practical complexities.
+
 The datasets follow a format that is compatible with the [`fev`](https://github.com/autogluon/fev) package.
 
 ## Data format and usage
@@ -547,4 +549,8 @@ For more details about the dataset format and usage, check out the [`fev` docume
 | `proenfo_gfc17_load`    | h      |         8 |    280704 |                2 |               0 | https://github.com/Leo-VK/EnFoAV                                        | [[4]](https://doi.org/10.48550/arXiv.2307.07191)                                                 |
 | `proenfo_hog`           | h      |        24 |   2526336 |                6 |               0 | https://github.com/Leo-VK/EnFoAV                                        | [[4]](https://doi.org/10.48550/arXiv.2307.07191)                                                 |
 | `proenfo_pdb`           | h      |         1 |     35040 |                2 |               0 | https://github.com/Leo-VK/EnFoAV                                        | [[4]](https://doi.org/10.48550/arXiv.2307.07191)                                                 |
-| `proenfo_spain`         | h      |         1 |    736344 |               21 |               0 | https://github.com/Leo-VK/EnFoAV                                        | [[4]](https://doi.org/10.48550/arXiv.2307.07191)                                                 |
+| `proenfo_spain`         | h      |         1 |    736344 |               21 |               0 | https://github.com/Leo-VK/EnFoAV                                        | [[4]](https://doi.org/10.48550/arXiv.2307.07191)                                                 |
+
+## Publications using these datasets
+
+- ["ChronosX: Adapting Pretrained Time Series Models with Exogenous Variables"](https://arxiv.org/abs/2503.12107)