Added DoI to datacard

README.md

@@ -198,7 +198,7 @@ Users can independently verify the dataset's reliability through several mechani
 
 ## 5- Data Management
 
-This dataset is publicly available on Hugging Face without authentication or registration requirements. Anyone can access, browse, and download the dataset directly from its Hugging Face repository page, navigated to via the dataset's persistent DOI. No request, approval, or data sharing agreement is required. All 3,000 scenarios are available in a single repository. No auxiliary scripts are archived with the dataset; all files are in CSV and are readable without specialist tools. The COMTRADE source files from PSCAD are not distributed; only the converted CSV outputs are included. Signal naming in this dataset follows the standard terminology and conventions in power systems engineering [22]. 
+This dataset is publicly available on Hugging Face without authentication or registration requirements, with a DoI: 10.57967/hf/8655. Anyone can access, browse, and download the dataset directly from its Hugging Face repository page, navigated to via the dataset's persistent DOI. No request, approval, or data sharing agreement is required. All 3,000 scenarios are available in a single repository. No auxiliary scripts are archived with the dataset; all files are in CSV and are readable without specialist tools. The COMTRADE source files from PSCAD are not distributed; only the converted CSV outputs are included. Signal naming in this dataset follows the standard terminology and conventions in power systems engineering [22]. 
 
 The dataset was generated between November 2025 and March 2026 using PSCAD and MATLAB Simulink simulation environments. The scenario generation scripts, simulation model construction, data wrangling pipeline, and dataset packaging were all carried out by the authors. No third-party data is incorporated. This dataset is released under the Creative Commons Attribution 4.0 International License (CC BY 4.0). The CC BY 4.0 license was selected to maximize reusability while ensuring that the dataset creators receive appropriate attribution.  The dataset is designed to satisfy the FAIR principles (Findable, Accessible, Interoperable, and Reusable).