Best practices to publish soundscapes in GBIF

A couple of years ago, we asked the community about publishing soundscapes through GBIF, so we are wondering if there are some best practices to publish this data at this momment.

I have come across to several ways, from event core Acoustic detections of birds using the SILIC in Yushan National Park, Taiwan, occurrence core only with identified speciesSanctuary Soundscape Monitoring Project (SanctSound) Daily Aggregated Species Detections and occurrence core with “Sonus naturalis” to publish general audios without an specific species Xeno-canto - Soundscapes from around the world.

We want to publish a biological collection of environmental sounds and want to know any experiences or recommendations to better represent this data, I was thinking of using eventCore for all soundscapes with occurrences when there is any possible identification.

But we are not 100% sure because there are several ways to do it and many questions regarding this, as: Can we adapt CampTrap DP to soundscapes? Should we think about a new data model for soundscapes? or we can adapt what is already available and maybe do a quick guide on how to publish this data in GBIF?

I would like to hear your valuable opinion @abbybenson @mgrosjean @peterdesmet @dhobern @ylebras !

Thank you very much for your help and have a wonderful 2024!

Hi @EstebanMH-SiB I am not aware of any best practise guide to publishing soundscape in GBIF. I believe that so far, each data providers have made their own datasets how they see fit.

I can see that @jeromeko is a contact for the dataset Acoustic detections of birds using the SILIC in Yushan National Park, Taiwan perhaps he has some insights on how best to work on this type of data?

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We’ve had casual conversations about this in the context of the data model and with at least one potential partner network that could bring a large influx of data.

Should note, too, the likely potential audience among the authors of this recent paper:

Looby, A., Erbe, C., Bravo, S. et al. Global inventory of species categorized by known underwater sonifery. Sci Data 10, 892 (2023). Global inventory of species categorized by known underwater sonifery | Scientific Data

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Interesting, I think, especially to look for a pragmatic data field to indicate if a soundscape includes multiple species and, if so, to map those identified species. Hereby a descriptive comparison of randomly selected GBIF occurrence records from mentioned data providers:

Additional remarks:

In latter mapping method, it’d be more logical to add a data field for the (calculated/estimated/derived) amount of individuals per species heard on the soundscape, if they’re auditively distinguishable. Defining an automatic method to consistently make those distinctions appear to be challenging, particularly if there’s no visual documentation of the observation.

Even automatically distinguishing sounds from different species on one recording, is also subjected to improvement in some examples:
e.g. ZZG01_20210123_073300.wav - Google Drive includes more than one species (in my opinion), while its event only lists one species:
Acoustic detections of birds using the SILIC in Yushan National Park, Taiwan
– cf. Steere's Liocichla (Liocichla steerii) :: xeno-canto

At the base, correct species identification is of course essential.

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