{"data":{"id":"10.6084/m9.figshare.3851466","type":"dois","attributes":{"doi":"10.6084/m9.figshare.3851466","prefix":"10.6084","suffix":"m9.figshare.3851466","identifiers":[],"alternateIdentifiers":[],"creators":[{"name":"Stowell, Dan","nameType":"Personal","givenName":"Dan","familyName":"Stowell","affiliation":[],"nameIdentifiers":[]}],"titles":[{"title":"Bird Audio Detection Challenge 2016: public data"}],"publisher":"figshare","container":{},"publicationYear":2016,"subjects":[{"subject":"60801 Animal Behaviour","subjectScheme":"FOR"},{"subject":"FOS: Biological sciences","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"FOS: Biological sciences","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"170203 Knowledge Representation and Machine Learning","subjectScheme":"FOR"},{"subject":"FOS: Psychology","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"FOS: Psychology","subjectScheme":"Fields of Science and Technology (FOS)"}],"contributors":[],"dates":[{"date":"2016-09-23","dateType":"Created"},{"date":"2016-09-28","dateType":"Updated"},{"date":"2016","dateType":"Issued"}],"language":null,"types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceType":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[],"relatedItems":[],"sizes":["273315 Bytes"],"formats":[],"version":null,"rightsList":[{"rights":"Creative Commons Attribution 4.0 International","rightsUri":"https://creativecommons.org/licenses/by/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rightsIdentifier":"cc-by-4.0","rightsIdentifierScheme":"SPDX"}],"descriptions":[{"description":"Data labels for the Bird Audio Challenge 2016. These annotations indicate the presence/absence of bird sounds in various datasets of 10-second audio clips.\u003cbr\u003e\u003cbr\u003eMore info:\u003cbr\u003ehttp://machine-listening.eecs.qmul.ac.uk/bird-audio-detection-challenge/\u003cbr\u003e\u003cbr\u003e===============\u003cbr\u003e\u003cbr\u003eREUSE:\u003cbr\u003e\u003cbr\u003eThe data is published under a Creative Commons CC-BY licence, and so you may reuse it as long as you attribute the origin. In academic work, please do this via a citation to our paper on the challenge:\u003cbr\u003e\u003cbr\u003eDan Stowell, Mike Wood, Yannis Stylianou, Hervé Glotin. Bird detection in audio: a survey and a challenge, in \u003ci\u003eProceedings of MLSP 2016\u003c/i\u003e, arXiv:1608.03417 [cs.SD], 2016.\u003cbr\u003e\u003cbr\u003eYou may also wish to link directly to this dataset, which you can do via its DOI https://dx.doi.org/10.6084/m9.figshare.3851466\u003cbr\u003e\u003cbr\u003e===============\u003cbr\u003e\u003cbr\u003eHow the annotations were collected:\u003cbr\u003e\u003cbr\u003eThe label \"hasbird\" represents whether a sound clip contains any audible bird sound. Note that there may be other sounds such as weather or humans, occasionally loud - the label does not mean that bird sound predominates.\u003cbr\u003e\u003cbr\u003eThe labels were double-annotated, by the following procedures:\u003cbr\u003e\u003cbr\u003e* For the ff1010bird data, the presence/absence of birds was first deduced from the tags provided by the original FreeSound recordist (diverse crowdsourced tags such as \"birdsong\" \"dawn-chorus\" or \"phylloscopus-collybita\"), and then double-checked and refined by a manual annotator.\u003cbr\u003e\u003cbr\u003e* For the warblrb10k data, the annotations were crowdsourced via a web service, answering the following question: \"Can you hear any birds in this clip?\" Annotations were then double-checked by a manual annotator to correct false-positives and -negatives.\u003cbr\u003e\u003cbr\u003e\u003cbr\u003eTo download the corresponding audio data please see http://machine-listening.eecs.qmul.ac.uk/bird-audio-detection-challenge/\u003cbr\u003e","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[],"xml":"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","url":"https://figshare.com/articles/dataset/Bird_Audio_Detection_Challenge_2016_public_data/3851466","contentUrl":null,"metadataVersion":3,"schemaVersion":"http://datacite.org/schema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