{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,9]],"date-time":"2025-05-09T04:40:10Z","timestamp":1746765610198,"version":"3.40.5"},"reference-count":20,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2025,5,8]],"date-time":"2025-05-08T00:00:00Z","timestamp":1746662400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2025,5,8]],"date-time":"2025-05-08T00:00:00Z","timestamp":1746662400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"DOI":"10.13039\/501100001871","name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia","doi-asserted-by":"publisher","award":["UIDB\/05634\/2020"],"award-info":[{"award-number":["UIDB\/05634\/2020"]}],"id":[{"id":"10.13039\/501100001871","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Regional Government of the Azores","award":["M1.1.A\/FUNC.UI&D\/003\/2021-2024"],"award-info":[{"award-number":["M1.1.A\/FUNC.UI&D\/003\/2021-2024"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Discov Data"],"abstract":"<jats:title>Abstract<\/jats:title>\n          <jats:p>Fishery analysis is critical in maintaining the long-term sustainability of species and the livelihoods of millions of people who depend on fishing for food and income. The fishing gear, or metier, is a key factor significantly impacting marine habitats, selectively targeting species and fish sizes. Analysis of commercial catches or landings by metier in fishery stock assessment and management is crucial, providing robust estimates of fishing efforts and their impact on marine ecosystems. In this paper, we focus on a unique data set from the Azores\u2019 fishing data collection programs between 2010 and 2017, where little information on metiers is available and sparse throughout our timeline. Our main objective is to tackle the task of data set reconstruction, leveraging domain knowledge and machine learning methods to retrieve or associate metier-related information to each fish landing. We empirically validate the feasibility of this task using a diverse set of modeling approaches and demonstrate how it provides new insights into different fisheries\u2019 behavior and the impact of metiers over time, which are essential for future fish population assessments, management, and conservation efforts.<\/jats:p>","DOI":"10.1007\/s44248-025-00034-6","type":"journal-article","created":{"date-parts":[[2025,5,8]],"date-time":"2025-05-08T15:28:38Z","timestamp":1746718118000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Experiential-informed data reconstruction for fishery sustainability and policies in the Azores"],"prefix":"10.1007","volume":"3","author":[{"given":"Brenda","family":"Nogueira","sequence":"first","affiliation":[]},{"given":"Gui M.","family":"Menezes","sequence":"additional","affiliation":[]},{"given":"Rita P.","family":"Ribeiro","sequence":"additional","affiliation":[]},{"given":"Nuno","family":"Moniz","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,5,8]]},"reference":[{"key":"34_CR1","doi-asserted-by":"publisher","DOI":"10.1016\/j.fishres.2020.105576","volume":"229","author":"Patr\u00fdcia Amorim","year":"2020","unstructured":"Amorim Patr\u00fdcia, et al. Length-frequency data approaches to evaluate snapper and grouper fisheries in the Java Sea. Fish Res. 2020;229: 105576.","journal-title":"Fish Res"},{"key":"34_CR2","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1023\/A:1010933404324","volume":"45","author":"Leo Breiman","year":"2001","unstructured":"Breiman Leo. Random forests. Mach Learn. 2001;45:5\u201332.","journal-title":"Mach Learn"},{"key":"34_CR3","unstructured":"Carvalho N. \u201cSea to shore: an economic evaluation of the Azorean commercial fisheries\u201d. In: University of the Azores, Horta, Portugal. 2010; 283"},{"issue":"6106","key":"34_CR4","doi-asserted-by":"publisher","first-page":"517","DOI":"10.1126\/science.1223389","volume":"338","author":"Christopher Costello","year":"2012","unstructured":"Costello Christopher, et al. Status and solutions for the world\u2019s unassessed fisheries. Science. 2012;338(6106):517\u201320.","journal-title":"Science"},{"key":"34_CR5","unstructured":"FAO. 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