Results 41 to 50 of about 15,371 (258)

Chromosome-Level Genome Assembly of the Rough-Toothed Dolphin (Steno bredanensis)

Journal of Marine Science and Engineering, 2023
The rough-toothed dolphin (Steno bredanensis), the single extant species of the genus Steno, inhabits tropical and subtropical oceans. It is an attractive species for studying aquatic adaptation and evolution.
Haiyu Gao, Hui Kang, Yaolei Zhang, Jiahao Wang, Wenzhi Lin, Peijun Zhang, Mingli Lin, Mingming Liu, Guangyi Fan, Songhai Li   +9 more
doaj   +1 more source

Eleutherodactylus pinchoni [PDF]

, 2003
Number of Pages: 3Integrative BiologyGeological ...
Boistel, Renaud, Breuil, Michel, Kaiser, Hinrich, Murdoch, J. T.   +3 more
core   +1 more source

Management of acoustic metadata for bioacoustics

Ecological Informatics, 2016
AbstractRecent expansion in the capabilities of passive acoustic monitoring of sound-producing animals is providing expansive data sets in many locations. These long-term data sets will allow the investigation of questions related to the ecology of sound-producing animals on time scales ranging from diel and seasonal to inter-annual and decadal ...
Roch, Marie A, Batchelor, Heidi, Baumann-Pickering, Simone, Berchok, Catherine L, Cholewiak, Danielle, Fujioka, Ei, Garland, Ellen C, Herbert, Sean, Hildebrand, John A, Oleson, Erin M, Van Parijs, Sofie, Risch, Denise, Širović, Ana, Soldevilla, Melissa S   +13 more
openaire   +5 more sources

Long-Distance Counter Calling in Maned Wolves: Friends or Foes?

Animals, 2022
Maned wolves (Chrysocyon brachyurus) are monogamous and display biparental care for their young, although adults rarely spend time in close proximity. To better understand vocal interactions of maned wolves over long-distances, we passively recorded >10 ...
Luane S. Ferreira, Victor Sábato, Thiago A. Pinheiro, Edvaldo Neto, Luciana H. Rocha, Júlio Baumgarten, Flávio H. Rodrigues, Renata S. Sousa-Lima   +7 more
doaj   +1 more source

Automatic large-scale classification of bird sounds is strongly improved by unsupervised feature learning [PDF]

, 2014
This is an Open Access article distributed in accordance with the terms of the Creative Commons Attribution (CC BY 4.0) license, which permits others to distribute, remix, adapt and build upon this work, for commercial use, provided the original work is ...
Plumbley, MD, Stowell, D
core   +2 more sources

An Acoustic Treatment to Mitigate the Effects of the Apple Snail on Agriculture and Natural Ecosystems

Journal of Marine Science and Engineering, 2021
Global change is the origin of increased occurrence of disturbance events in natural communities, with biological invasions constituting a major threat to ecosystem integrity and functioning.
Marta Solé, José-Manuel Fortuño, Mike van der Schaar, Michel André   +3 more
doaj   +1 more source

The Feasibility of Counting Songbirds Using Unmanned Aerial Vehicles

, 2017
Obtaining unbiased survey data for vocal bird species is inherently challenging due to observer biases, habitat coverage biases, and logistical constraints.
Barr, Janine M., Wilson, Andrew M., Zagorski, Megan E.   +2 more
core   +1 more source

Stress and Emotion Classification Using Jitter and Shimmer Features [PDF]

, 2007
In this paper, we evaluate the use of appended jitter and shimmer speech features for the classification of human speaking styles and of animal vocalization arousal levels.
Johnson, Michael T., Leong, Kirsten, Li, Xi, Newman, John D., Savage, Anne, Soltis, Joseph, Tao, Jidong   +6 more
core   +2 more sources

Sound production in the Meagre, Argyrosomus regius (Asso, 1801): intraspecific variability associated with size, sex and context [PDF]

, 2020
Many fish taxa produce sound in voluntary and in disturbance contexts but information on the full acoustic repertoire is lacking for most species. Yet, this knowledge is critical to enable monitoring fish populations in nature through acoustic monitoring.
Amorim, Maria Clara P., Barata, Marisa, Candeias-Mendes, Ana, Fonseca, Paulo J., Pereira, Beatriz P., Pousão-Ferreira, Pedro, Vieira, Manuel   +6 more
core   +3 more sources

Multiscale CNN based Deep Metric Learning for Bioacoustic Classification: Overcoming Training Data Scarcity Using Dynamic Triplet Loss

, 2019
This paper proposes multiscale convolutional neural network (CNN)-based deep metric learning for bioacoustic classification, under low training data conditions.
Nigam, Aditya, Rajan, Padmanabhan, Thakur, Anshul, Thapar, Daksh   +3 more
core   +1 more source