Evidence map›Paper›PMID 42422038›Full record

ArticleData in brief2026

An underwater acoustic dataset of anthropogenic noise in Lake Balaton, Hungary.

Attila Aradi, Bálint Bánó, Réka Pallos, Péter Takács, Attila Károly Varga

Abstract read
In one paragraph

Article in Data in brief, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Attila AradiUniversity of Miskolc, Miskolc, Egyetem út 1., H-3515, Hungary.
Bálint BánóHUN-REN Balaton Limnological Research Institute, Tihany, Klebelsberg Kuno utca 3, H-8237, Hungary.
Réka PallosHUN-REN Balaton Limnological Research Institute, Tihany, Klebelsberg Kuno utca 3, H-8237, Hungary.
Péter TakácsHUN-REN Balaton Limnological Research Institute, Tihany, Klebelsberg Kuno utca 3, H-8237, Hungary.
Attila Károly VargaUniversity of Miskolc, Miskolc, Egyetem út 1., H-3515, Hungary.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This data article presents a curated dataset of underwater acoustic recordings collected in Lake Balaton, Hungary, Central Europe's largest shallow lake and one of the region's most intensively used freshwater ecosystems. The dataset comprises 18 WAV audio files (approximately 7.8 GB; approximately 3 h of recordings) documenting multiple sources of anthropogenic underwater noise in a shallow freshwater environment. Recorded sound sources include vessel traffic (ferries, catamarans, and water police boats), propulsion systems with different engine types (5 HP and 10 HP petrol outboard engines, a 48 V electric motor, and a small electric outboard motor), and music festival noise recorded at distances of 250 m, 500 m, and 1000 m from the source area. Ambient soundscape recordings from two locations and a hydrophone calibration recording are also included. All recordings were acquired using an Aquarian Scientific AS-1 hydrophone connected to a Focusrite Scarlett 4i4 USB audio interface and are provided as 32-bit float WAV files at a sampling rate of 192 kHz. The dataset represents, to our knowledge, the first publicly available collection of underwater acoustic recordings from Lake Balaton and one of the few freshwater datasets focusing on anthropogenic noise sources. These recordings may support studies of freshwater soundscapes, comparative analyses of vessel and motor noise, assessment of the detectability of festival-generated underwater sound at different distances, development of acoustic monitoring methods, and training or validation of signal-processing approaches. The dataset also provides a freshwater counterpart to the predominantly marine underwater acoustic databases currently available.

Indexed as

DisturbanceFreshwater ecosystemShallow lakeSoundscapeTourismVessel noise

Identifiers

PMID42422038
PMCPMC13342878

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LicenceCC BY-NC-ND
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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.