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@@ -132,9 +132,7 @@ The dataset was created to improve the accuracy and efficiency of bird species i
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  <!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
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- 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 are most active to capture as many songs as possible, specifically from a few hours before dawn until midday.
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- The distribution of the recorders is as follows:
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  ![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/669e33c571c6596608284b24/ENWc533IEGsKtkaDHx3Wk.jpeg)
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@@ -164,6 +162,7 @@ The data was produced by researchers from Estación Biológica de Doñana and Un
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  ### Annotations
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  <!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
 
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  #### Annotation process
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  <!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
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+ Audio recordings were collected from three main habitats across nine different locations within Doñana National Park using automatic audio recorders (AudioMoths). See map below.
 
 
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  ![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/669e33c571c6596608284b24/ENWc533IEGsKtkaDHx3Wk.jpeg)
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  ### Annotations
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  <!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
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+ Approximately 500 minutes of audio data were annotated, prioritizing times when birds are most active to capture as many songs as possible, specifically from a few hours before dawn until midday.
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  #### Annotation process
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