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Although Artificial Intelligence (AI) has enabled automated spore recognition, its effectiveness depends on the availability of large, diverse, and well-annotated datasets. However, publicly available datasets targeting fungal taxa associated with commercially valuable timber species remain scarce. To address this gap, we introduce a microscopic image dataset of fungal spores isolated from symptomatic teak foliage, including\n                    <jats:italic>Olivea tectonae<\/jats:italic>\n                    ,\n                    <jats:italic>Colletotrichum siamense<\/jats:italic>\n                    , and\n                    <jats:italic>Neopestalotiopsis<\/jats:italic>\n                    sp. The dataset was developed through systematic field sampling, direct microscopic observation, and axenic culturing, followed by high-resolution imaging and manual annotation by experts. This annotated dataset serves as a foundational resource for AI-assisted spore detection across both field-based and atmospheric surveillance workflows, supporting applications such as sample-based analysis, air-based monitoring, and real-time diagnostics. Its cross-species utility and future extensibility enhance its value for plant disease management.\n                  <\/jats:p>","DOI":"10.1038\/s41597-025-06264-2","type":"journal-article","created":{"date-parts":[[2025,12,11]],"date-time":"2025-12-11T06:15:02Z","timestamp":1765433702000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Microscopic image dataset of fungal spores for computer vision applications in Tectona grandis and other taxa"],"prefix":"10.1038","volume":"12","author":[{"given":"Syeda Munjiba","family":"Islam","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-8883-422X","authenticated-orcid":false,"given":"Md. Shariar Hossain","family":"Sazzad","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Md. 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