Update README.md

README.md

@@ -20,11 +20,11 @@ BIOMON is funded by the European Union's Horizon Europe programme, ERA Talents,
 
 A complete description of the dataset can be found in the following article: 
 
-1. Mammides, C., Ieronymidou, C. & Papadopoulos, H. (2024). An ecoacoustic dataset collected on the island of Cyprus in the Mediterranean Basin biodiversity hotspot. Preprint at https://doi.org/10.21203/rs.3.rs-4635704/v1 
+Mammides, C., Ieronymidou, C. & Papadopoulos, H. (2025). An ecoacoustic dataset collected on the island of Cyprus in the Mediterranean Basin biodiversity hotspot. Scientific Data. 12, 461. https://doi.org/10.1038/s41597-025-04807-1.
 
 See also:
 
-1. Mammides, C. et al. (2024). The Combined Effectiveness of Acoustic Indices in Measuring Bird Species Richness in Biodiverse Sites in Cyprus, China, and Australia. SSRN Scholarly Paper at https://doi.org/10.2139/ssrn.4823337.
+1. Mammides, C. et al. (2025). The Combined Effectiveness of Acoustic Indices in Measuring Bird Species Richness in Biodiverse Sites in Cyprus, China, and Australia. Ecological Indicators. 170, 1131105.https://doi.org/10.1016/j.ecolind.2025.113105.
 
 2. Mammides, C., Huang, G., Sreekar, R., Ieronymidou, C. & Papadopoulos, H.  (2024). A novel approach for calculating prediction uncertainty when using acoustic indices and machine learning algorithms to monitor animal communities. 30 May 2024, PREPRINT (Version 1) available at Research Square https://doi.org/10.21203/rs.3.rs-4494063/v1.