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The lack of labeled flow sound datasets limits research for developing supervised AI algorithms. This work presents a dataset of simulated urinary flow sound recordings at flow rates from 1 to 50 ml\/s, in increments of 1 ml\/s, against water in a real toilet bowl. Flow generation employed an L600-1F precision peristaltic pump, with simultaneous recordings from three devices: high-quality Ultramic384k microphone, Mi A1 smartphone and Oppo smartwatch. Water was expelled through a 6 mm diameter nozzle (simulating the urethra) from a variable height of 73 to 86 cm, mimicking adult urination. The dataset provides 60-seconds labeled, constant-flow audio recordings (WAV format). This resource is intended to support research on sound-based urinary flow estimation by developing and validating supervised artificial intelligence algorithms.<\/jats:p>","DOI":"10.1038\/s41597-025-05358-1","type":"journal-article","created":{"date-parts":[[2025,6,13]],"date-time":"2025-06-13T03:07:48Z","timestamp":1749784068000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Annotated dataset of simulated voiding sound for urine flow estimation"],"prefix":"10.1038","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9362-4186","authenticated-orcid":false,"given":"Marcos Lazaro","family":"Alvarez","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Laura","family":"Arjona","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alfonso","family":"Bahillo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ganeko","family":"Bernardo-Seisdedos","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,6,13]]},"reference":[{"key":"5358_CR1","doi-asserted-by":"publisher","first-page":"44","DOI":"10.1038\/s41591-018-0300-7","volume":"25","author":"EJ Topol","year":"2019","unstructured":"Topol, E. 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J., Kim, M. M., Song, S. H. & Lee, S. A novel mobile acoustic uroflowmetry: comparison with contemporary uroflowmetry. International Neurourology Journal 25, 150 (2021).","journal-title":"International Neurourology Journal"},{"key":"5358_CR9","doi-asserted-by":"crossref","unstructured":"Aslim, E. J. et al. Pilot study for the comparison of machine-learning augmented audio-uroflowmetry with standard uroflowmetry in healthy men. BMJ Innovations 6 (2020).","DOI":"10.1136\/bmjinnov-2019-000382"},{"key":"5358_CR10","unstructured":"Comiter, C. V & Belotserkovsky, E. A novel mobile uroflowmetry application for assessing lower urinary tract symptoms. Neurourology and Urodynamics, S56\u2013S57 (2019)."},{"key":"5358_CR11","doi-asserted-by":"publisher","first-page":"12","DOI":"10.1186\/s13636-024-00332-y","volume":"2024","author":"ML Alvarez","year":"2024","unstructured":"Alvarez, M. L., Arjona, L., Iglesias Mart\u00ednez, M. E. & Bahillo, A. 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