id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_ue4rck5t3fcszm254rhwc6ucoa	Veronica Morfi	NIPS4Bplus: a richly annotated birdsong audio dataset	2019	12	.pdf	application/pdf	4731	524	57	richly annotated birdsong audio dataset, that is comprised of recordings containing bird vocalisations along with their active species tags plus the temporal annotations Keywords Audio dataset, Bird vocalisations, Ecosystems, Ecoacoustics, Rich annotations, annotations, labels that contain temporal information about the audio events. authors try to exploit audio tags in birdsong detection and bird species classification, ecological data with temporal annotations to train sound event detectors and classifiers is This means that many ecological datasets lack temporal annotations of bird vocalisations contains bird species tags and temporal annotations. Figshare (https://doi.org/10.6084/m9.figshare.6798548) (Morfi, Stowell & Pamuła, 2018). Dataset Name #recs #classes species tags annotations duration other info 10,000 different bird species (https://www.xeno-canto.org/). temporal annotations identifying the bird species and also classifying the vocalisation. http://dcase.community/challenge2018/task-bird-audio-detection Temporal annotations for each recording in the training set of the NIPS4B dataset were information about the recordings, their species specific tags and their temporal annotations.	./cache/work_ue4rck5t3fcszm254rhwc6ucoa.pdf	./txt/work_ue4rck5t3fcszm254rhwc6ucoa.txt