A Global Library of Underwater Biological Sounds (GLUBS): An Online Platform with Multiple Passive Acoustic Monitoring Applications

Parsons, Miles J. G.; Looby, Audrey; Chanda, Kranthikumar; Di Iorio, Lucia; Erbe, Christine; Frazao, Fabio; Havlik, Michelle; Juanes, Francis; Lammers, Marc; Li, Songhai; Liffers, Matthias; Lin, Tzu-Hao; Linke, Simon; Mooney, T. Aran; Radford, Craig; Rice, Aaron N.; Rountree, Rodney; Sayigh, Laela; Sousa-Lima, Renata; Stanley, Jenni; Thomisch, Karolin; Urban, Ed; van Zeeland, Louisa; Vela, Sarah; Zuffi, Silvia; Nedelec, Sophie L.

doi:10.1007/978-3-031-10417-6_123-1

Miles J. G. Parsons^5,6^na1,
Audrey Looby⁷^na1,
Kranthikumar Chanda⁸^na1,
Lucia Di Iorio⁹^na1,
Christine Erbe⁶^na1,
Fabio Frazao¹⁰^na1,
Michelle Havlik¹¹^na1,
Francis Juanes¹²^na1,
Marc Lammers¹³^na1,
Songhai Li¹⁴^na1,
Matthias Liffers¹⁵^na1,
Tzu-Hao Lin¹⁶^na1,
Simon Linke¹⁷^na1,
T. Aran Mooney¹⁸^na1,
Craig Radford¹⁹^na1,
Aaron N. Rice²⁰^na1,
Rodney Rountree^12,21^na1,
Laela Sayigh^18,22^na1,
Renata Sousa-Lima²³^na1,
Jenni Stanley²⁴^na1,
Karolin Thomisch²⁵^na1,
Ed Urban²⁶^na1,
Louisa van Zeeland²⁷^na1,
Sarah Vela²⁸^na1,
Silvia Zuffi^29,30^na1 &
…
Sophie L. Nedelec³¹^na1

Abstract

Aquatic ecosystems contain some of the world’s most diverse environments, and their soundscapes are often teeming with sounds from a wealth of biological sources. Passive acoustic monitoring (PAM) is an increasingly accessible technique that offers an unprecedented, non-extractive means to “observe” these habitats, many of which are too deep, dark, turbid, or remote to sample easily with other methods. Applications to assist analysis of PAM data already exist (e.g., reference libraries, data portals, discussion forums), machine learning code is increasingly more available, and citizen science programs are broadening public interest in underwater sound. However, individually, these resources do not realize their full potential. To help address this limitation, a working group for a Global Library of Underwater Biological Sounds (GLUBS) has proposed an open-access web-based single-point-of-contact platform to integrate and expand these applications to help broaden and standardize scientific and community knowledge of underwater soundscapes and their contributing sources. This paper presents a summary of a meeting of the GLUBS working group that was held at “The Effects of Noise on Aquatic Life, 2022,” including some of the core values, initial targets, points for design, data management issues, and potential avenues for stakeholder engagement.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Institutional subscriptions

References

Alliance for Coastal Technologies (ACT) Underwater Passive Acoustic Monitoring for Remote Regions (2007). A workshop of research scientists, technology developers, and resource managers. In, Coconut Island, Hawaii, 7–9 Feb 2007. Alliance for Coastal Technologies Ref. No. ACT-07-02. Hawaii Institute of Marine Biology
Google Scholar
Bianco MJ, Gerstoft P, Traer J, Ozanich E, Roch MA, Gannot S, Deledalle CA (2019) Machine learning in acoustics: theory and applications. J Acoust Soc Am 146:3590–3628. https://doi.org/10.1121/1.5133944
Article PubMed Google Scholar
Bolgan M, Parmentier E (2020) The unexploited potential of listening to deep-sea fish. Fish Fish 21:1238–1252. https://doi.org/10.1111/faf.12493
Article Google Scholar
Bolgan M, Gervaise C, Iorio LD, Lossent J, Lejeune P, Raick X, Parmentier E (2020) Fish biophony in a Mediterranean submarine canyon. J Acoust Soc Am 147:2466–2477. https://doi.org/10.1121/10.0001101
Article PubMed Google Scholar
Caiger PE et al (2020) A decade of monitoring Atlantic cod Gadus morhua spawning aggregations in Massachusetts Bay using passive acoustics. Mar Ecol Prog Ser 635:89–103. https://doi.org/10.3354/meps13219
Article Google Scholar
Cato DH (1978) Marine biological choruses observed in tropical waters near Australia. J Acoust Soc Am 64:736–743. https://doi.org/10.1121/1.382038
Article Google Scholar
Chapuis L, Williams B, Gordon TAC, Simpson SD (2021) Low-cost action cameras offer potential for widespread acoustic monitoring of marine ecosystems. Ecol Indic 129:107957. https://doi.org/10.1016/j.ecolind.2021.107957
Article Google Scholar
Costello MJ et al (2013) Global coordination and standardisation in marine biodiversity through the World Register of Marine Species (WoRMS) and related databases. PLoS One 8:20. https://doi.org/10.1371/journal.pone.0051629
Article CAS Google Scholar
Darras KFA et al (2022) Worldwide Soundscapes project meta-data (1.0.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.7415473
Di Iorio L, Audax M, Deter J, Holon F, Lossent J, Gervaise C, Boissery P (2021) Biogeography of acoustic biodiversity of NW Mediterranean coralligenous reefs. Sci Rep 11:16991. https://doi.org/10.1038/s41598-021-96378-5
Article CAS PubMed PubMed Central Google Scholar
Duarte CM et al (2021) The soundscape of the Anthropocene Ocean. Science 371:eaba4658. https://doi.org/10.1126/science.aba4658
Article CAS PubMed Google Scholar
Erisman BE, Rowell TJ (2017) A sound worth saving: acoustic characteristics of a massive fish spawning aggregation. Biol Lett 13:20170656. https://doi.org/10.1098/rsbl.2017.0656
Article PubMed PubMed Central Google Scholar
Farina A, Gage SH, Salutari P (2018) Testing the ecoacoustics event detection and identification (EEDI) approach on Mediterranean soundscapes. Ecol Indic 85:698–715. https://doi.org/10.1016/j.ecolind.2017.10.073
Article Google Scholar
Fornwall M (2000) Planning for OBIS: examining relationships with existing national and international biodiversity information systems. Oceanography 13:31–38
Article Google Scholar
Frasier KE (2021) A machine learning pipeline for classification of cetacean echolocation clicks in large underwater acoustic datasets. PLoS Comput Biol 17:26. https://doi.org/10.1371/journal.pcbi.1009613
Article CAS Google Scholar
Frazao F, Padovese B, Kirsebom OS (2020) Workshop report: detection and classification in marine bioacoustics with deep learning. arxiv 2002.08249. https://doi.org/10.48550/arXiv.2002.08249
Froese R, Pauly D (eds) (2022) FishBase. Available at: http://www.fishbase.org, version (08/2022)
Gordon TAC et al (2018) Habitat degradation negatively affects auditory settlement behavior of coral reef fishes. Proc Natl Acad Sci U S A 115:5193–5198. https://doi.org/10.1073/pnas.1719291115
Article CAS PubMed PubMed Central Google Scholar
Greenhalgh JA, Genner MJ, Jones G, Desjonquères C (2020) The role of freshwater bioacoustics in ecological research. Wiley Interdiscip Rev-Water 7:e1416. https://doi.org/10.1002/wat2.1416
Article Google Scholar
Havlik MN, Predragovic M, Duarte CM (2022) State of play in marine soundscape assessments. Front Mar Sci 9:11. https://doi.org/10.3389/fmars.2022.919418
Article Google Scholar
Hirschberg J, Manning CD (2015) Advances in natural language processing. Science 349(6245):261–266. https://doi.org/10.1126/science.aaa8685
Article CAS PubMed Google Scholar
International Organization for Standardization (2014) Acoustics — Soundscape — Part 1: definition and conceptual framework (ISO Standard Number 12913-1:2014). www.iso.org/standard/52161.html
Kahl S, Wood CM, Eibl M, Klinck H (2021) BirdNET: a deep learning solution for avian diversity monitoring. Ecol Informat 61:101236. https://doi.org/10.1016/j.ecoinf.2021.101236
Article Google Scholar
Lamont TAC et al (2022a) The sound of recovery: coral reef restoration success is detectable in the soundscape. J Appl Ecol 59:742–756. https://doi.org/10.1111/1365-2664.14089
Article Google Scholar
Lamont TAC et al (2022b) HydroMoth: testing a prototype low-cost acoustic recorder for aquatic environments. Remote Sens Ecol Conserv 8:362–378. https://doi.org/10.1002/rse2.249
Article Google Scholar
Lauha P, Somervuo P, Lehikoinen P, Geres L, Richter T, Seibold S, Ovaskainen O (2022) Domain-specific neural networks improve automated bird sound recognition already with small amount of local data. Methods Ecol Evol 13:2799–2810. https://doi.org/10.1111/2041-210x.14003
Article Google Scholar
Lin T-H, Chen C, Watanabe HK, Kawagucci S, Yamamoto H, Akamatsu T (2019) Using soundscapes to assess deep-sea benthic ecosystems. Trends Ecol Evol 34:1066–1069. https://doi.org/10.1016/j.tree.2019.09.006
Article PubMed Google Scholar
Lin T-H, Akamatsu T, Sinniger F, Harii S (2021a) Exploring coral reef biodiversity via underwater soundscapes. Biol Conserv 253:108901. https://doi.org/10.1016/j.biocon.2020.108901
Article Google Scholar
Lin TH, Akamatsu T, Tsao Y (2021b) Sensing ecosystem dynamics via audio source separation: a case study of marine soundscapes off northeastern Taiwan. PLoS Comput Biol 17:23. https://doi.org/10.1371/journal.pcbi.1008698
Article CAS Google Scholar
Lindseth A, Lobel P (2018) Underwater soundscape monitoring and fish bioacoustics: a review. Aust Fish 3:36. https://doi.org/10.3390/fishes3030036
Article Google Scholar
Linke S et al (2018) Freshwater ecoacoustics as a tool for continuous ecosystem monitoring. Front Ecol Environ 16:231–238. https://doi.org/10.1002/fee.1779
Article Google Scholar
Looby A, Cox K, Bravo S, Rountree R, Juanes F, Reynolds LK, Martin CW (2022) A quantitative inventory of global soniferous fish diversity. Rev Fish Biol Fish 32:581–595. https://doi.org/10.1007/s11160-022-09702-1
Article Google Scholar
Looby A et al (2023a) FishSounds Version 1.0: a website for the compilation of fish sound production information and recordings. Ecol Informat 74:101953. https://doi.org/10.1016/j.ecoinf.2022.101953
Article Google Scholar
Looby A et al (2023b) Global inventory of species categorized by known underwater sonifery Sci. Data 10(1):892. https://doi.org/10.1038/s41597-023-02745-4
Looby A, Cox K, Bravo S, Rountree R, Juanes F, Riera A, Vela S, Davies HL, Reynolds LK, Martin CW (2023c) Fish sound production research: historical practices and ongoing challenges. Effects of noise on aquatic life: principles and practical considerations. https://doi.org/10.1007/978-3-031-10417-6_92-1
McCauley RD (2001) Biological Sea noise in Northern Australia: patterns of fish calling. James Cook University
Google Scholar
Mellinger DK, Clark CW (2006) MobySound: a reference archive for studying automatic recognition of marine mammal sounds. Appl Acoust 67:1226–1242. https://doi.org/10.1016/j.apacoust.2006.06.002
Article Google Scholar
Mellinger DK, Stafford KM, Moore SE, Dziak RP, Matsumoto H (2007) An overview of fixed passive acoustic observation methods for cetaceans. Oceanography 20:36–45
Article Google Scholar
Merchant ND, Fristrup KM, Johnson MP, Tyack PL, Witt MJ, Blondel P, Parks SE (2015) Measuring acoustic habitats. Methods Ecol Evol 6:257–265. https://doi.org/10.1111/2041-210X.12330
Article PubMed PubMed Central Google Scholar
Miksis-Olds JL et al (2021) Ocean sound analysis software for making ambient noise trends accessible (MANTA). Front Mar Sci 8:703650. https://doi.org/10.3389/fmars.2021.703650
Article Google Scholar
Mooney TA et al (2020) Listening forward: approaching marine biodiversity assessments using acoustic methods. R Soc Open Sci 7:201287. https://doi.org/10.1098/rsos.201287
Article PubMed PubMed Central Google Scholar
Ocean Networks Canada (2021) Ocean Networks Canada SoundCloud. https://soundcloud.com/oceannetworkscanada. Accessed 21 Oct 2021
Open Portal to Underwater Soundscapes (OPUS) (2022) accessible at https://opus.aq; CC-BY 4.0 Alfred Wegener Institute, Helmholtz Center for Polar and Marine Research 2023
Parsons MJG (2010) An investigation into active and passive acoustic techniques to study aggregating fish species. Ph.D. Dissertation, Curtin University
Google Scholar
Parsons MJ, McCauley RD, Mackie MC, Siwabessy P, Duncan AJ (2009) Localization of individual mulloway (Argyrosomus japonicus) within a spawning aggregation and their behaviour throughout a diel spawning period. ICES J Mar Sci 66:1007–1014. https://doi.org/10.1093/icesjms/fsp016
Article Google Scholar
Parsons MJG, McCauley RD, Mackie MC, Duncan AJ (2010) A comparison of techniques for ranging close-proximity mulloway (Argyrosomus japonicus) calls with a single hydrophone. Acoust Aust 38:145–151
Google Scholar
Parsons MJG, McCauley RD, Mackie MC (2013) Characterisation of mulloway, Argyrosomus japonicus advertisement sounds. Acoust Aust 41:196–201
Google Scholar
Parsons MJG, Erbe C, McCauley R, McWilliam J, Marley S, Gavrilov A, Parnum I (2016) Long-term monitoring of soundscapes and deciphering a usable index: examples of fish choruses from Australia. Proc Meetings Acoust Soc Am 27(1):010023
Article Google Scholar
Parsons MJG et al (2022) Sounding the call for a global library of biological underwater sounds. Front Ecol Evol 10:810156. https://doi.org/10.3389/fevo.2022.810156
Article Google Scholar
Pijanowski BC et al (2011) Soundscape ecology: the science of sound in the landscape. Bioscience 61:203–216. https://doi.org/10.1525/bio.2011.61.3.6
Article Google Scholar
Potamitis I (2014) Automatic classification of a taxon-rich community recorded in the wild. PLoS One 9:e96936. https://doi.org/10.1371/journal.pone.0096936
Article CAS PubMed PubMed Central Google Scholar
Richardson JV (2006) The library and information economy in Turkmenistan. IFLA J 32:131–139. https://doi.org/10.1177/0340035206066410
Article Google Scholar
Rountree RA, Aguzzi J, Marini S, Fanelli E, De Leo FC, Del Rio J, Juanes F (2020a) Towards an optimal design for ecosystem-level ocean observatories. In: Hawkins SJ et al (eds) Oceanography and marine biology: an annual review, Oceanography and marine biology, vol 58. CRC Press-Taylor & Francis Group, Boca Raton, pp 79–105
Chapter Google Scholar
Rountree RA, Juanes F, Bolgan M (2020b) Temperate freshwater soundscapes: a cacophony of undescribed biological sounds now threatened by anthropogenic noise. PLoS One 15:e0221842. https://doi.org/10.1371/journal.pone.0221842
Article CAS PubMed PubMed Central Google Scholar
Rowell TJ, Demer DA, Aburto-Oropeza O, Cota-Nieto JJ, Hyde JR, Erisman BE (2017) Estimating fish abundance at spawning aggregations from courtship sound levels. Sci Rep 7:3340. https://doi.org/10.1038/s41598-017-03383-8
Article CAS PubMed PubMed Central Google Scholar
Rowell TJ, D'Spain GL, Aburto-Oropeza O, Erisman BE (2020) Drivers of male sound production and effective communication distances at fish spawning aggregation sites. ICES J Mar Sci 77:730–745. https://doi.org/10.1093/icesjms/fsz236
Article Google Scholar
Sayigh L, Daher MA, Allen J, Gordon H, Joyce K, Stuhlmann C, Tyack P (2016) The Watkins marine mammal sound database: an online, freely accessible resource. Proc Meet Acoust 27:040013. https://doi.org/10.1121/2.0000358
Article Google Scholar
Scowcroft G (2021) The discovery of sound in the sea project: twenty years of success in synthesizing science for nonexperts. Acoust Today 17:78–80. https://doi.org/10.1121/at.2021.17.4.78
Article Google Scholar
Shiu Y et al (2020) Deep neural networks for automated detection of marine mammal species. Sci Rep 10:607. https://doi.org/10.1038/s41598-020-57549-y
Article CAS PubMed PubMed Central Google Scholar
Sprague M, Luczkovich J (2011) Modeling fish aggregation sounds in very shallow water to estimate numbers of calling fish in aggregations. Proc Meet Acoust 12:010004. https://doi.org/10.1121/1.4730158
Article Google Scholar
Sueur J, Farina A (2015) Ecoacoustics: the ecological investigation and interpretation of environmental sound. Biosemiotics 8:493–502. https://doi.org/10.1007/s12304-015-9248-x
Article Google Scholar
Sun Y-J, Yen S-C, Lin T-H (2022) soundscape_IR: a source separation toolbox for exploring acoustic diversity in soundscapes. Methods Ecol Evol 13:2347–2355. https://doi.org/10.1111/2041-210X.13960
Article Google Scholar
The Turing Way (2021) The FAIR Principals. https://the-turing-way.netlify.app/reproducible-research/rdm/rdm-fair.html. Accessed 10 Jan 2023
Tyack P, Frisk G, Boyd I, Urban E, Seeyave S (2015) International Quiet Ocean Experiment Science Plan. Scientific Committee on Oceanic Research and Partnership for Observation of the Global Ocean
Google Scholar
Ulloa JS, Haupert S, Latorre JF, Aubin T, Sueur J (2021) Scikit-maad: an open-source and modular toolbox for quantitative soundscape analysis in Python. Methods Ecol Evol 12:2334–2340. https://doi.org/10.1111/2041-210x.13711
Article Google Scholar
Van Parijs SM, Clark CW, Sousa-Lima RS, Parks SE, Rankin S, Risch D, Van Opzeeland IC (2009) Management and research applications of real-time and archival passive acoustic sensors over varying temporal and spatial scales. Mar Ecol Prog Ser 395:21–36. https://doi.org/10.3354/meps08123
Article Google Scholar
Vigness-Raposa KJ, Scowcroft G, Miller JH, Ketten D (2012) Discovery of sound in the sea: an online resource. In: Popper AN, Hawkins A (eds) Effects of noise on aquatic life, Advances in experimental medicine and biology, vol 730. Springer, New York, pp 135–138. https://doi.org/10.1007/978-1-4419-7311-5_30
Chapter Google Scholar
Waddell EE, Rasmussen JH, Sirovic A (2021) Applying artificial intelligence methods to detect and classify fish calls from the Northern Gulf of Mexico. J Mar Sci Eng 9:1128. https://doi.org/10.3390/jmse9101128
Article Google Scholar
Wall CC, Haver SM, Hatch LT, Miksis-Olds J, Bochenek R, Dziak RP, Gedamke J (2021) The next wave of passive acoustic data management: how centralized access can enhance science. Front Mar Sci 8:873. https://doi.org/10.3389/fmars.2021.703682
Article Google Scholar
Wilkinson MD et al (2016) The FAIR guiding principles for scientific data management and stewardship. Sci Dat 3:160018. https://doi.org/10.1038/sdata.2016.18
Article Google Scholar
Williams B et al (2022) Enhancing automated analysis of marine soundscapes using ecoacoustic indices and machine learning. Ecol Indic 140:11. https://doi.org/10.1016/j.ecolind.2022.108986
Article Google Scholar

Download references

Acknowledgments

The IQOE Science Committee provided financial support to hold the GLUBS workshop at the Effects of Noise on Aquatic Life 2022 conference and facilitated the attendance of some members. The Richard Lounsbery Foundation has provided financial support for the continued development of this working group. Support for the group was provided by the Scientific Committee on Oceanic Research, Monmouth University Urban Coast Institute, and Rockefeller Program for the Human Environment. Jesse Ausubel of the Rockefeller Institute has provided valuable insights to the working group. We thank them for their initiative and support.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Author information

This paper has been authored by the Working Group of the Global Library of Underwater Biological Sounds. M.P., S.L.N., and A.L. initiated the concept and led the configuration of this chapter. All authors contributed to the conceptualization, intellectual property, writing, preparation, review, and editing of this manuscript. All authors have read and agreed to the published version of the manuscript.

Authors and Affiliations

Australian Institute of Marine Science, Perth, WA, Australia
Miles J. G. Parsons
Centre for Marine Science and Technology, Curtin University, Perth, WA, Australia
Miles J. G. Parsons & Christine Erbe
Fisheries and Aquatic Sciences, Institute of Food and Agricultural Sciences, University of Florida, Gainesville, FL, USA
Audrey Looby
Centre for Marine Living Resources & Ecology, Ministry of Earth Sciences Government of India, Puthuvypu, Kochi, Kerala, India
Kranthikumar Chanda
Université de Perpignan Via Domitia, CNRS, Centre de Formation et de Recherche sur les Environnements Méditerranéens, Perpignan, France
Lucia Di Iorio
Institute for Big Data Analytics, Faculty of Computer Science, Dalhousie University, Halifax, NS, Canada
Fabio Frazao
King Abdullah University of Science and Technology, Red Sea Research Center, Thuwal, Saudi Arabia
Michelle Havlik
Department of Biology, University of Victoria, Victoria, BC, Canada
Francis Juanes & Rodney Rountree
Hawaiian Islands Humpback Whale National Marine Sanctuary, Kihei, HI, USA
Marc Lammers
Marine Mammal and Marine Bioacoustics Laboratory, Institute of Deep-sea Science and Engineering, Chinese Academy of Sciences, Sanya, China
Songhai Li
Australian Research Data Commons, Curtin University, Bentley, Western Australia
Matthias Liffers
Biodiversity Research Center, Academia Sinica, Nankang, Taipei, Taiwan
Tzu-Hao Lin
Commonwealth Scientific and Industrial Research Organisation, Dutton Park, QLD, Australia
Simon Linke
Biology Department, Woods Hole Oceanographic Institution, Woods Hole, MA, USA
T. Aran Mooney & Laela Sayigh
Institute of Marine Science, Leigh Marine Laboratory, University of Auckland, Warkworth, New Zealand
Craig Radford
K. Lisa Yang Center for Conservation Bioacoustics, Cornell Lab of Ornithology, Cornell University, Ithaca, NY, USA
Aaron N. Rice
The Fish Listener, Waquoit, MA, USA
Rodney Rountree
Hampshire College, Amherst, MA, USA
Laela Sayigh
EAR Hub – EcoAcoustic Research Hub, Biosciences Center, Federal University of Rio Grande do Norte, Lagoa Nova, RN, Brazil
Renata Sousa-Lima
Coastal Marine Field Station, School of Science, University of Waikato, Tauranga, New Zealand
Jenni Stanley
Ocean Acoustics Group, Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research, Bremerhaven, Germany
Karolin Thomisch
Scientific Committee on Oceanic Research, University of Delaware, Newark, CA, USA
Ed Urban
The Alan Turing Institute, London, UK
Louisa van Zeeland
Marine Environmental Research Infrastructure for Data Integration and Application Network, Institute for Big Data Analytics, Faculty of Computer Sciences, Dalhousie University Halifax, Halifax, NS, Canada
Sarah Vela
Institute for Applied Mathematics and Information Technologies CNR, Milan, Italy
Silvia Zuffi
National Biodiversity Future Center, NBFC, Palermo, Italy
Silvia Zuffi
Biosciences, Faculty of Life and Health Sciences, Hatherly Laboratories, University of Exeter, Exeter, UK
Sophie L. Nedelec

Authors

Miles J. G. Parsons
View author publications
You can also search for this author in PubMed Google Scholar
Audrey Looby
View author publications
You can also search for this author in PubMed Google Scholar
Kranthikumar Chanda
View author publications
You can also search for this author in PubMed Google Scholar
Lucia Di Iorio
View author publications
You can also search for this author in PubMed Google Scholar
Christine Erbe
View author publications
You can also search for this author in PubMed Google Scholar
Fabio Frazao
View author publications
You can also search for this author in PubMed Google Scholar
Michelle Havlik
View author publications
You can also search for this author in PubMed Google Scholar
Francis Juanes
View author publications
You can also search for this author in PubMed Google Scholar
Marc Lammers
View author publications
You can also search for this author in PubMed Google Scholar
Songhai Li
View author publications
You can also search for this author in PubMed Google Scholar
Matthias Liffers
View author publications
You can also search for this author in PubMed Google Scholar
Tzu-Hao Lin
View author publications
You can also search for this author in PubMed Google Scholar
Simon Linke
View author publications
You can also search for this author in PubMed Google Scholar
T. Aran Mooney
View author publications
You can also search for this author in PubMed Google Scholar
Craig Radford
View author publications
You can also search for this author in PubMed Google Scholar
Aaron N. Rice
View author publications
You can also search for this author in PubMed Google Scholar
Rodney Rountree
View author publications
You can also search for this author in PubMed Google Scholar
Laela Sayigh
View author publications
You can also search for this author in PubMed Google Scholar
Renata Sousa-Lima
View author publications
You can also search for this author in PubMed Google Scholar
Jenni Stanley
View author publications
You can also search for this author in PubMed Google Scholar
Karolin Thomisch
View author publications
You can also search for this author in PubMed Google Scholar
Ed Urban
View author publications
You can also search for this author in PubMed Google Scholar
Louisa van Zeeland
View author publications
You can also search for this author in PubMed Google Scholar
Sarah Vela
View author publications
You can also search for this author in PubMed Google Scholar
Silvia Zuffi
View author publications
You can also search for this author in PubMed Google Scholar
Sophie L. Nedelec
View author publications
You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Miles J. G. Parsons .

Editor information

Editors and Affiliations

Department of Biology, College Park, University of Maryland, College Park, MD, USA
Arthur N. Popper
Department of Psychology, University of Washington, Seattle, WA, USA
Joseph Sisneros
Marine Research, Loughine, Aberdeen, UK
Anthony D. Hawkins
DHI A/S, Horsholm, Denmark
Frank Thomsen

Section Editor information

Department of Biology, University of Maryland, College Park, MD, USA
Arthur N. Popper

Rights and permissions

Reprints and permissions

Copyright information

About this entry

Cite this entry

Parsons, M.J.G. et al. (2024). A Global Library of Underwater Biological Sounds (GLUBS): An Online Platform with Multiple Passive Acoustic Monitoring Applications. In: Popper, A.N., Sisneros, J., Hawkins, A.D., Thomsen, F. (eds) The Effects of Noise on Aquatic Life. Springer, Cham. https://doi.org/10.1007/978-3-031-10417-6_123-1

Download citation

DOI: https://doi.org/10.1007/978-3-031-10417-6_123-1
Received: 25 August 2023
Accepted: 26 August 2023
Published: 02 November 2023
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-10417-6
Online ISBN: 978-3-031-10417-6
eBook Packages: Living Reference Biomedicine and Life SciencesReference Module Biomedical and Life Sciences

Publish with us

Policies and ethics