{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,31]],"date-time":"2026-01-31T06:03:47Z","timestamp":1769839427543,"version":"3.49.0"},"reference-count":22,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2024,3,15]],"date-time":"2024-03-15T00:00:00Z","timestamp":1710460800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100006360","name":"Federal Ministry for Economic Affairs and Climate Action","doi-asserted-by":"publisher","award":["03EE3062"],"award-info":[{"award-number":["03EE3062"]}],"id":[{"id":"10.13039\/501100006360","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100006360","name":"Federal Ministry for Economic Affairs and Climate Action","doi-asserted-by":"publisher","award":["0324134A"],"award-info":[{"award-number":["0324134A"]}],"id":[{"id":"10.13039\/501100006360","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Center for Wind Energy Research For-Wind","award":["03EE3062"],"award-info":[{"award-number":["03EE3062"]}]},{"name":"Center for Wind Energy Research For-Wind","award":["0324134A"],"award-info":[{"award-number":["0324134A"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Data"],"abstract":"<jats:p>In this article, a dataset is described which combines wind turbine supervisory control and data acquisition (SCADA), meteorological and acoustical data and thus gives a detailed description of a wind farm and its atmospheric and acoustic environment. The data were collected during different seasons for several weeks at a time, such that a multitude of environmental and operational conditions are covered. In five measurement campaigns, in total three different locations with similar surroundings were captured. The raw data were enhanced with derived values such as atmospheric stability or direction of sound propagation. Data of one month including all time series measurements as well as monophonic audio recordings are now published. The dataset also contains three exemplary use cases along with documents that describe the data pre-processing.<\/jats:p>","DOI":"10.3390\/data9030046","type":"journal-article","created":{"date-parts":[[2024,3,15]],"date-time":"2024-03-15T12:02:39Z","timestamp":1710504159000},"page":"46","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["WEA-Acceptance Data\u2014A Dataset of Acoustic, Meteorological, and Operational Wind Turbine Measurements"],"prefix":"10.3390","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9589-8332","authenticated-orcid":false,"given":"Daphne","family":"Sch\u00f6ssow","sequence":"first","affiliation":[{"name":"Institute of Communications Technology, Leibniz University Hannover, 30167 Hanover, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4232-580X","authenticated-orcid":false,"given":"Stephan","family":"Preihs","sequence":"additional","affiliation":[{"name":"Institute of Communications Technology, Leibniz University Hannover, 30167 Hanover, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4649-8911","authenticated-orcid":false,"given":"J\u00fcrgen","family":"Peissig","sequence":"additional","affiliation":[{"name":"Institute of Communications Technology, Leibniz University Hannover, 30167 Hanover, Germany"}]}],"member":"1968","published-online":{"date-parts":[[2024,3,15]]},"reference":[{"key":"ref_1","unstructured":"Preihs, S., Bergner, J., Sch\u00f6ssow, D., and Peissig, J. (2021, January 18\u201321). Assessing Wind Turbine Noise Perception by means of Contextual Laboratory and Online Studies. Proceedings of the 9th International Conference on Wind Turbine Noise, e-Conference from Europe, Online."},{"key":"ref_2","unstructured":"Sch\u00f6ssow, D., Kawczynski, D., Preihs, S., and Peissig, J. (2023, January 6\u20139). Der Einfluss visueller Pr\u00e4sentationsmodi auf die Wahrnehmung von WEA-Stimuli in Probandenstudien. Proceedings of the Fortschritte der Akustik\u2014DAGA 2023, 49. Jahrestagung f\u00fcr Akustik, Hamburg, Germany."},{"key":"ref_3","unstructured":"Preihs, S., Bergner, J., Sch\u00f6ssow, D., and Peissig, J. (2021, January 15\u201318). On Predicting the Perceived Annoyance of Wind Turbine Sound. Proceedings of the Fortschritte der Akustik\u2014DAGA 2021, 47. Jahrestagung f\u00fcr Akustik, Vienna, Austria."},{"key":"ref_4","unstructured":"Bergner, J., Preihs, S., and Peissig, J. (2019, January 16\u201319). Investigation on Ecological Validity within Higher Order Ambisonics Reproductions of Wind Turbine Noisescapes. Proceedings of the INTER-NOISE and NOISE-CON Congress and Conference 2019, Madrid, Spain."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"25","DOI":"10.3813\/AAA.918683","article-title":"Auralization of wind turbine noise: Emission synthesis","volume":"100","author":"Pieren","year":"2014","journal-title":"Acta Acust. United Acust."},{"key":"ref_6","unstructured":"Preihs, S., Bergner, J., and Peissig, J. (2019, January 18\u201321). Ans\u00e4tze zur binauralen Erweiterung einer Algorithmik zur l\u00e4stigkeitsbezogenen Analyse und Synthese der Schallemissionen von Windenergieanlagen. Proceedings of the Fortschritte der Akustik\u2014DAGA 2019, 45. Jahrestagung f\u00fcr Akustik, Rostock, Germany."},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Poschadel, N., Gill, C., Preihs, S., and Peissig, J. (2021, January 1\u20135). CNN-based multi-class multi-label classification of sound scenes in the context of wind turbine sound emission measurements. Proceedings of the INTER-NOISE and NOISE-CON Congress and Conference 2021, Washington, DC, USA.","DOI":"10.3397\/IN-2021-2205"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"639","DOI":"10.5194\/wes-8-639-2023","article-title":"A new base of wind turbine noise measurement data and its application for a systematic validation of sound propagation models","volume":"8","author":"Bohne","year":"2023","journal-title":"Wind Energy Sci."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"040001","DOI":"10.1121\/2.0001326","article-title":"An evaluation method for extensive wind turbine sound measurement data and its application","volume":"41","author":"Martens","year":"2020","journal-title":"Proc. Meet. Acoust."},{"key":"ref_10","unstructured":"Martens, S., Bohne, T., and Rolfes, R. (2019, January 18\u201321). 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