Birds sounds datasets

Yes, there are datasets available that include information about bird calls, including their loudness (in decibels) and other characteristics. However, most datasets are focused on bird **audio recordings** rather than direct decibel measurements. Here are some resources and datasets you can use for your experiment:

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### **1. Xeno-Canto**

- **Description:** Xeno-Canto is a large database of bird sounds from around the world. While it doesn’t directly provide decibel levels, you can download bird calls and analyze their loudness using audio software.

- **Website:** [https://www.xeno-canto.org](https://www.xeno-canto.org)

- **How to Use:**

 - Search for specific bird species.

 - Download the audio files.

 - Use audio software (e.g., Audacity) to measure the amplitude or loudness of the calls.

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### **2. BirdVox**

- **Description:** BirdVox is a dataset designed for bird sound detection in audio recordings. It includes labeled bird calls, which you can analyze for loudness.

- **Website:** [https://wp.nyu.edu/birdvox](https://wp.nyu.edu/birdvox)

- **How to Use:**

 - Download the dataset.

 - Use software like Audacity or Python libraries (e.g., `librosa`) to analyze the loudness of the calls.

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### **3. Cornell Lab of Ornithology (Macaulay Library)**

- **Description:** The Macaulay Library is one of the world’s largest collections of animal sounds, including bird calls. You can access recordings and analyze them for loudness.

- **Website:** [https://www.macaulaylibrary.org](https://www.macaulaylibrary.org)

- **How to Use:**

 - Search for bird species and download their calls.

 - Use audio analysis tools to measure loudness.

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### **4. Kaggle Datasets**

- **Description:** Kaggle hosts many datasets related to bird sounds and calls. Some datasets include metadata about the recordings.

- **Website:** [https://www.kaggle.com/datasets](https://www.kaggle.com/datasets)

- **Example Dataset:** [Bird Calls and Songs Dataset](https://www.kaggle.com/datasets/vinayshanbhag/bird-calls-and-songs)

- **How to Use:**

 - Download the dataset.

 - Use Python (e.g., `pandas`, `librosa`) or audio software to analyze the loudness.

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### **5. Create Your Own Dataset**

If you can’t find a dataset with decibel measurements, you can create your own by:

1. Recording bird calls using a smartphone or microphone.

2. Measuring the loudness (in decibels) using a decibel meter or audio analysis software.

3. Organizing the data in a table (e.g., Excel or Google Sheets).

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### **Tools for Analyzing Loudness**

- **Audacity:** Free audio software to analyze sound files and measure amplitude (loudness).

- **Python Libraries:**

 - `librosa`: For audio analysis.

 - `pydub`: For working with audio files.

 - `scipy`: For signal processing.

- **Decibel Meter Apps:** Use a smartphone app (e.g., Sound Meter) to measure loudness directly in the field.

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### **Example Python Code to Analyze Loudness**

If you have audio files, you can use Python to analyze their loudness:

```python

import librosa

import numpy as np

# Load an audio file

audio_path = "bird_call.wav"

y, sr = librosa.load(audio_path)

# Calculate the amplitude (loudness)

amplitude = np.abs(y)

average_loudness = np.mean(amplitude)

print(f"Average loudness: {average_loudness}")

```

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### **Conclusion**

While there isn’t a single dataset that directly provides decibel measurements for bird calls, you can use resources like Xeno-Canto, BirdVox, or the Macaulay Library to access bird sounds and analyze their loudness. Alternatively, you can create your own dataset by recording and measuring bird calls in your local area. This hands-on approach will make your experiment even more engaging! 🐦🎤

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