Evidence map›Paper›PMID 39987192›Full record

ArticleScientific data2025

Acoustic data collection in arctic environments during the midnight sun using multi-channel SoundSHROOMs.

Patrick Chwalek, Maggie Coblentz, Sophia Montague, Marie Kuronaga, Isamar Zhu, Joseph A Paradiso

Abstract readDataset
In one paragraph

Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Patrick ChwalekResponsive Environments, MIT Media Lab, Cambridge, MA, USA. chwalek@mit.edu.ORCID http://orcid.org/0000-0002-4353-7161
Maggie CoblentzFieldscape, Longyearbyen, Svalbard, Norway.
Sophia MontagueResponsive Environments, MIT Media Lab, Cambridge, MA, USA.
Marie KuronagaResponsive Environments, MIT Media Lab, Cambridge, MA, USA.
Isamar ZhuResponsive Environments, MIT Media Lab, Cambridge, MA, USA.
Joseph A ParadisoResponsive Environments, MIT Media Lab, Cambridge, MA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As climate change and habitat loss continue to impact ecosystems worldwide, efficient and scalable biodiversity monitoring tools are increasingly needed. Bioacoustic data are invaluable for tracking shifts in species distributions, detecting invasive species, and monitoring ecosystem health. In this paper, we present an audio dataset from Longyearbyen, Svalbard, collected during the Arctic summer of 2023 using custom-developed Sensor-equipped Habitat Recorders for Outdoor Omnidirectional Monitoring (SoundSHROOMs) units. These devices employ ten spatially-separated, high-resolution microphones to provide 360° monitoring over 6 days across 9 locations. Our study aimed to assess the deployment process of SoundSHROOMs in Arctic conditions, collect multi-channel acoustic data for spatial audio applications, and to evaluate various microphone windshields under realistic wind loading. The resulting multi-channel synchronized microphone data capture a wealth of bioacoustic information from vocalizing animals, particularly bird species. The dataset offers valuable insights into the presence, abundance, and behavior of avian populations in Svalbard, demonstrating the effectiveness of bioacoustic monitoring in remote and challenging environments.

Indexed as

AcousticsBirdsEnvironmental MonitoringVocalization, AnimalAnimalsArctic RegionsClimate ChangeEcosystemSunlightSvalbard

Identifiers

PMID39987192
PMCPMC11846831

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.