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xeno-canto-download

Script for downloading bird sound files from www.xeno-canto.org based on search terms.

Usage:

Use python to execute a program with selected search terms. Remember to change the dirctory to the folder containing xcdl.py file, so it can be executed.

python xcdl.py searchTerm1 searchTerm2 ... searchTermN

Examples:

Downloading sounds under one or many search terms (i.e. one bird type)

python xcdl.py apus apus

You can also try filtering your results. For example to search for a bird "apus apus" but only in Poland and with quality of recordings and B type this. For more advance search terms check xeno-canto search tips website.

python xcdl.py apus apus cnt:poland q>:C

downloading with multiple search term (i.e. download dataset of polish bird sounds - Women in Machine Learning Project - Bird sound recognition)

python xcdl.py 	Dendrocopos major	&
python xcdl.py 	Chloris chloris	&
python xcdl.py 	Corvus frugilegus	&
python xcdl.py 	Coccothraustes coccothraustes	&
python xcdl.py 	Columba palumbus	&
python xcdl.py 	Delichon urbicum	&
python xcdl.py 	Apus apus	&
python xcdl.py 	Sitta europaea	&
python xcdl.py 	Corvus monedula	&
python xcdl.py 	Phoenicurus ochruros	&
python xcdl.py 	Turdus merula	&
python xcdl.py 	Turdus pilaris	&
python xcdl.py 	Passer montanus	&
python xcdl.py 	Phylloscopus trochilus	&
python xcdl.py 	Phylloscopus collybita	&
python xcdl.py 	Phoenicurus phoenicurus	&
python xcdl.py 	Motacilla alba	&
python xcdl.py 	Erithacus rubecula	&
python xcdl.py 	Streptopelia decaocto	&
python xcdl.py 	Parus major	&
python xcdl.py 	Parus caeruleus	&
python xcdl.py 	Alauda arvensis	&
python xcdl.py 	Luscinia luscinia	&
python xcdl.py 	Garrulus glandarius	&
python xcdl.py 	Turdus philomelos	&
python xcdl.py 	Pica pica	&
python xcdl.py 	Troglodytes troglodytes	&
python xcdl.py 	Carduelis carduelis	&
python xcdl.py 	Sturnus vulgaris	&
python xcdl.py 	Emberiza citrinella	&
python xcdl.py 	Passer domesticus	&
python xcdl.py 	Corvus corone	&
python xcdl.py 	Fringilla coelebs	

Reading json file:

To read the data from all json files found under the searchTerms use readData((searchTerm, pathToJsonCatalogue) function

for example

soundTypes = readData("type", path)
spicies = readData("sp",path)

Example json file

{
 "id": "489414",
 "gen": "Apus",
 "sp": "apus",
 "ssp": "",
 "en": "Common Swift",
 "rec": "Daniel Noesgaard",
 "cnt": "Denmark",
 "loc": "K\u00f8benhavn, Copenhagen Municipality, Capital Region of Denmark",
 "lat": "55.6852",
 "lng": "12.5651",
 "type": "call",
 "file": "//www.xeno-canto.org/489414/download",
 "lic": "//creativecommons.org/licenses/by-nc-sa/4.0/",
 "url": "https://www.xeno-canto.org/489414",
 "q": "no score",
 "time": "21:30",
 "date": "2019-07-29"
 }

About

Easy and ready-to-use script to download bird sound files and jsons from www.xeno-canto.org based on search terms.

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  • Jupyter Notebook 65.0%
  • Python 35.0%