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Xeno-Canto India Bird Recordings
Data Science and Analytics
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About
This resource contains metadata for bird song records captured across the Indian subcontinent, originally sourced from the Xeno-Canto repository. The data provides valuable insight into the diverse bird species present in India, allowing for detailed study of distribution and characteristics. It is particularly useful for assessing species migration, tracking evolutionary changes, and monitoring environmental impacts, as avian populations often serve as an early indicator of factors such as air pollution.
Columns
The dataset includes 26 fields detailing the recordings. Key data points cover:
- id: The unique identifier for each recording.
- gen, sp, ssp, en: Taxonomic information including Genus, Species, Subspecies, and the English common name (e.g., Oriental Magpie-Robin).
- rec: The name of the person who recorded the sound.
- cnt, loc: Geographic location data, specifying the country (consistently India) and the specific recording location (e.g., Eaglenest Wildlife Sanctuary).
- lat, lng, alt: Latitude, Longitude, and Altitude measurements, useful for spatial analysis.
- type: Categorisation of the acoustic event, such as 'call' or 'song'.
- url, file: Links to the recording's source page and direct download location.
- lic, q: Licensing information and quality rating (e.g., 'A' or 'B').
- date, time, uploaded: Temporal details, including the specific recording date and the date the metadata was uploaded.
- bird-seen, playback-used: Contextual notes indicating if the bird was observed and if playback was utilised during the recording process.
Distribution
The primary data is available in a CSV format, titled
birds_india.csv, with a file size of approximately 9.72 MB. The data structure holds over 13,700 validated records for most fields. Geographic coordinates show recordings spanning latitudes from 6.82 up to 86.3 and longitudes from -15.8 up to 97. Updates to this dataset are expected to occur on a quarterly basis.Usage
This rich metadata can be applied to several areas of research and data analysis:
- Exploring the geographical distribution and acoustic behaviour of bird species.
- Developing machine learning models for birdsong recognition and classification.
- Performing ecological studies to track species migration and evolution patterns.
- Analysing environmental health by using birds as indicators of factors like air pollution.
Coverage
The dataset focuses exclusively on the Indian subcontinent, with all recorded instances tagged to the country of India. The geographical scope is broad within the region, encompassing many specific locations. The temporal range of the data is extensive, with recordings having been uploaded between November 2008 and July 2020. The scope covers metadata related to bird calls and songs, alongside recorder and location attributes.
License
CC0: Public Domain
Who Can Use It
- Ecologists and Biologists: To study avian characteristics, distribution, and biodiversity within the Indian subcontinent.
- Data Scientists and Machine Learning Practitioners: For developing predictive models related to acoustic event recognition.
- Environmental Analysts: To leverage frequency and distribution data to assess the impact of environmental changes, particularly pollution.
Dataset Name Suggestions
- Indian Birds Acoustic Metadata
- Xeno-Canto India Bird Recordings
- Subcontinent Avian Sound Records
Attributes
Original Data Source: Xeno-Canto India Bird Recordings
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