Update README.md

README.md

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 # HydroChronos
 <!-- Provide a quick summary of the dataset. -->
-...
+HydroChronos is designed to forecast water dynamics using multispectral satellite images, climate variables, and DEM. 
+It covers lakes and rivers of the US, Europe, and Brazil.
 
 - **Repository:** [GitHub](https://github.com/DarthReca/hydro-chronos)
-- **Paper:** [More Information Needed]
+- **Paper:** [Arxiv](https://arxiv.org/abs/2506.14362)
 
 ## Dataset Details
 <!-- Provide a longer summary of what this dataset is. -->
-...
-
-- **Curated by:** Daniele Rege Cambrin
-- **License:** OpenRAIL
-
-## Dataset Structure
-
-<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
-...
-
-## Dataset Creation
-
-<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
 The dataset comprises Landsat-5 (L) TOA and Sentinel-2 (S) TOA images. There are 6 coherently aligned bands for both satellites:
 
 | Landsat | Sentinel | Description | Central Wavelength (L/S) |
@@ -42,9 +30,26 @@ The dataset comprises Landsat-5 (L) TOA and Sentinel-2 (S) TOA images. There are
 |    B5   |    B11   |     SWIR    |       1650/1610 nm       |
 |    B7   |    B12   |     SWIR    |       2220/2190 nm       |
 
-They are coupled with climate variables from [TERRACLIMATE](https://www.nature.com/articles/sdata2017191).
+They are coupled with climate variables from [TERRACLIMATE](https://www.nature.com/articles/sdata2017191) and Copernicus GLO30-DEM.
 There is no ground truth. We directly work with Modified Normalized Difference Water Index (MNDWI)
 
+- **Curated by:** Daniele Rege Cambrin
+- **License:** OpenRAIL
+
+## Dataset Structure
+
+<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
+To load the dataset with TorchGeo, please refer to the [repository](https://github.com/DarthReca/hydro-chronos).
+
+All climate data are contained in *climate.h5* with the following structure:
+```bash
+```
+The data for the two satellites and DEM are contained in the respective folders. 
+For portability, the whole dataset is divided into parts. You can easily iterate over the whole dataset using the *_main.h5* files, 
+since they contain the [external links](https://docs.h5py.org/en/stable/high/group.html#external-links) to the correct file
+```bash
+```
+
 ## Citation
 
 <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->