Update README.md

README.md

@@ -32,6 +32,8 @@ authors:
 
 The BIRDeep Audio Annotations dataset is a collection of bird vocalizations from Doñana National Park, Spain. It was created as part of the BIRDeep project, which aims to optimize the detection and classification of bird species in audio recordings using deep learning techniques. The dataset is intended for use in training and evaluating models for bird vocalization detection and identification.
 
+The research code and further information is available at the [Github Repository](https://github.com/GrunCrow/BIRDeep_BirdSongDetector_NeuralNetworks).
+
 ## Dataset Details
 
 ### Dataset Description
@@ -44,7 +46,7 @@ The BIRDeep Audio Annotations dataset is a collection of bird vocalizations from
 - **Language(s):** English
 - **License:** MIT
 
-### Dataset Sources [optional]
+### Dataset Sources
 
 <!-- Provide the basic links for the dataset. -->
 
@@ -73,6 +75,10 @@ The dataset should not be used for purposes unrelated to bird vocalization detec
 
 The dataset includes audio data categorized into 38 different classes, representing a variety of bird species found in the park. The data was collected from three main habitats across nine different locations within Doñana National Park, providing a diverse range of bird vocalizations.
 
+The distribution of the 38 different classes through the 3 subdatasets (train, validation and test) is the following:
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/669e33c571c6596608284b24/ZdKKSVajKrBCtWHVQs4bm.png)
+
 ## Dataset Creation
 
 ### Curation Rationale
@@ -91,11 +97,28 @@ The dataset was created to improve the accuracy and efficiency of bird species i
 
 Audio recordings were collected from three main habitats across nine different locations within Doñana National Park using automatic audio recorders (AudioMoths). Approximately 500 minutes of audio data were annotated, prioritizing times when birds have greater activity to have as many audios with songs as possible, specifically a few hours before dawn until midday.
 
-#### Who are the source data producers?
+The distribution of the recorders is as follows:
+
+![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/669e33c571c6596608284b24/ENWc533IEGsKtkaDHx3Wk.jpeg)
+
+Where the name of the places correspond to the following recorders and coordinates:
+
+Number	Habitat	        Place Name         Recorder	    Lat	        Lon	              Installation Date
+Site 1	low shrubl	    Monteblanco	       AM1	        37.074	    -6.624	          03/02/2023
+Site 2	high shrubl	    Sabinar	     	   AM2	        37.1869444	-6.720555556	  03/02/2023	
+Site 3	high shrubl	    Ojillo	   	       AM3	        37.2008333	-6.613888889	  03/02/2023			
+Site 4	low shrubl	    Pozo Sta Olalla    AM4	        37.2202778	-6.729444444	  03/02/2023			
+Site 5	ecotone	        Torre Palacio 	   AM8	        37.1052778	-6.5875	          03/02/2023
+Site 6	ecotone	        Pajarera           AM10	        37.1055556	-6.586944444	  03/02/2023			
+Site 7	ecotone	        Caño Martinazo	   AM11	        37.2086111	-6.512222222	  03/02/2023			
+Site 8	marshland	    Cancela Millán	   AM15	        37.0563889	-6.6025	          03/02/2023			
+Site 9	marshland	    Juncabalejo		   AM16	        36.9361111	-6.378333333	  03/02/2023			
+
+#### Data producers
 
 <!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->
 
-The data was produced by researchers from Estación Biológica de Doñana and Universidad de Córdoba.
+The data was produced by researchers from Estación Biológica de Doñana and Universidad de Córdoba. A research center and University at the south zone of Spain, close to the study region, National Park of Doñana.
 
 ### Annotations
 
@@ -170,7 +193,7 @@ This dataset incorporates synthetic background audio, which has been created by
 ## Citation
 
 ```
-@misc{nirdeep_audioannotations_2024,
+@misc{birdeep_audioannotations_2024,
     author = {M{\'a}rquez-Rodr{\'i}guez, Alba and Muñoz-Mohedano, Miguel {\'A}ngel and Mar{\'i}n-Jim{\'e}nez, Manuel Jes{\'u}s and Santamar{\'i}a-Garc{\'i}a, Eduardo and Bastianelli, Giulia and Mendoza, Irene},
     title = {BIRDeepAudioAnnotations (Revision 4cf0456)},
     url = {https://huggingface.co/datasets/GrunCrow/BIRDeepAudioAnnotations},