01392nas a2200241 4500008004100000245005800041210005700099520070900156653001800865653002800883653001700911653001900928653002300947653001700970653001500987653002101002100002001023700001401043700001901057700001901076700001701095856003801112 2019 eng d00aNIPS4Bplus: a richly annotated birdsong audio dataset0 aNIPS4Bplus a richly annotated birdsong audio dataset3 a

Recent advances in birdsong detection and classification have approached a limit due to the lack of fully annotated recordings. In this paper, we present NIPS4Bplus, the first richly annotated birdsong audio dataset, that is comprised of recordings containing bird vocalisations along with their active species tags plus the temporal annotations acquired for them. Statistical information about the recordings, their species specific tags and their temporal annotations are presented along with example uses. NIPS4Bplus could be used in various ecoacoustic tasks, such as training models for bird population monitoring, species classification, birdsong vocalisation detection and classification.

10aaudio dataset10aAudio signal processing10abioacoustics10aBioinformatics10aBird vocalisations10aecoacoustics10aecosystems10arich annotations1 aMorfi, Veronica1 aBas, Yves1 aPamuła, Hanna1 aGlotin, Hervé1 aStowell, Dan uhttps://peerj.com/articles/cs-22303171nas a2200289 4500008004100000245010300041210006900144260001600213490000600229520224200235653002502477653001502502653002702517653002002544653002102564653002102585653001002606653001402616653001702630653001802647653001602665100002102681700004202702700002202744700002102766856009402787 2019 eng d00aEvidence of the environmental impact of noise pollution on biodiversity: a systematic map protocol0 aEvidence of the environmental impact of noise pollution on biodi cJan-12-20190 v83 a

Background

For decades, biodiversity has suffered massive losses worldwide. Urbanization is one of the major drivers of extinction because it leads to the physical fragmentation and loss of natural habitats and it is associated with related effects, e.g. pollution and in particular noise pollution given that many man-made sounds are generated in cities (e.g. industrial and traffic noise, etc.). However, all human activities generate sounds, even far from any human habitation (e.g. motor boats on lakes, aircraft in the air, etc.). Ecological research now deals increasingly with the effects of noise pollution on biodiversity. Many studies have shown the impacts of anthropogenic noise and concluded that it is potentially a threat to life on Earth. The present work describes a protocol to systematically map evidence of the environmental impact of noise pollution on biodiversity. The resulting map will inform on the species most studied and on the demonstrated impacts. This will be useful for further primary research by identifying knowledge gaps and in view of further analysis, such as systematic reviews.

Methods

Searches will include peer-reviewed and grey literature published in English and French. Two online databases will be searched using English terms and search consistency will be assessed with a test list. No geographical restrictions will be applied. The subject population will include all species. Exposures will include all types of man-made sounds (industrial, traffic, etc.) in all types of environments (or media) (terrestrial, aerial, aquatic), including all contexts and sound origins (spontaneous or recorded sounds, in situ or laboratory studies, etc.). All relevant outcomes will be considered (space use, reproduction, communication, abundance, etc.). An open-access database will be produced with all relevant studies selected during the three screening stages. For each study, the database will contain metadata on key variables of interest (species, types of sound, outcomes, etc.). This database will be available in conjunction with a map report describing the mapping process and the evidence base with summary figures and tables of the study characteristics.

10aAnthropogenic sounds10aecosystems10aImpact of urbanization10aMan-made sounds10aMasking auditory10aNatural habitats10aNoise10aPollution10aSpecies loss10aTraffic noise10aurban noise1 aSordello, Romain1 aDe Lachapelle, Frédérique, Flamerie1 aLivoreil, Barbara1 aVanpeene, Sylvie uhttps://environmentalevidencejournal.biomedcentral.com/articles/10.1186/s13750-019-0146-601350nas a2200205 4500008004100000245005800041210005700099520071700156653001800873653002500891653001700916653001500933653002100948100002000969700001400989700001901003700001901022700001701041856008601058 2018 eng d00aNIPS4Bplus: a richly annotated birdsong audio dataset0 aNIPS4Bplus a richly annotated birdsong audio dataset3 a

Recent advances in birdsong detection and classification have approached a limit due to the lack of fully annotated record- ings. In this paper, we present NIPS4Bplus, the first richly annotated birdsong audio dataset, that is comprised of record- ings containing bird vocalisations along with their active species tags plus the temporal annotations acquired for them. Statistical information about the recordings, their species spe- cific tags and their temporal annotations are presented along with example uses. NIPS4Bplus could be used in various ecoacoustic tasks, such as training models for bird popula- tion monitoring, species classification, birdsong vocalisation detection and classification.

10aaudio dataset10abird vocalisa- tions10aecoacoustics10aecosystems10arich annotations1 aMorfi, Veronica1 aBas, Yves1 aPamuła, Hanna1 aGlotin, Hervé1 aStowell, Dan uhttps://bio.acousti.ca/content/nips4bplus-richly-annotated-birdsong-audio-dataset