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RelatedMaterial
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destroy: {"material_type"=>"Dataset", "availability"=>nil, "link"=>"https://databank.illinois.edu/datasets/IDB-9559463/", "uri"=>nil, "uri_type"=>nil, "citation"=>"Punyasena, Surangi W.; Adaime, Marc-Elie; Jaramillo, Carlos (2025): Pollen of Podocarpus (Podocarpaceae) II: Airyscan confocal superresolution images. University of Illinois Urbana-Champaign. https://doi.org/10.13012/B2IDB-9559463_V1 ", "dataset_id"=>892, "selected_type"=>"Dataset", "datacite_list"=>nil, "note"=>nil, "feature"=>nil}
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2025-01-17T21:50:32Z
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RelatedMaterial
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2025-01-17T21:50:32Z
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RelatedMaterial
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create: {"material_type"=>"Dataset", "availability"=>nil, "link"=>"https://databank.illinois.edu/datasets/IDB-9559463/", "uri"=>nil, "uri_type"=>nil, "citation"=>"Punyasena, Surangi W.; Adaime, Marc-Elie; Jaramillo, Carlos (2025): Pollen of Podocarpus (Podocarpaceae) II: Airyscan confocal superresolution images. University of Illinois Urbana-Champaign. https://doi.org/10.13012/B2IDB-9559463_V1 ", "dataset_id"=>892, "selected_type"=>"Dataset", "datacite_list"=>nil, "note"=>nil, "feature"=>nil}
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2025-01-03T03:37:19Z
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RelatedMaterial
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create: {"material_type"=>"Article", "availability"=>nil, "link"=>"https://academic.oup.com/pnasnexus/article/3/1/pgad419/7471798", "uri"=>nil, "uri_type"=>nil, "citation"=>"Adaïmé, M. É., Kong, S., & Punyasena, S. W. (2024). Deep learning approaches to the phylogenetic placement of extinct pollen morphotypes. PNAS nexus, 3(1), pgad419.", "dataset_id"=>892, "selected_type"=>"Article", "datacite_list"=>nil, "note"=>nil, "feature"=>nil}
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2025-01-03T03:37:19Z
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Dataset
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update: {"description"=>["This dataset includes a total of 300 images of 45 extant species of Podocarpus (Podocarpaceae) and nine images of fossil specimens of the morphogenus Podocarpidites. The goal of this dataset is to capture the diversity of morphology within the genus and create an image database for training machine learning models.\r\n\r\nThe images were taken using Airyscan confocal superresolution microscopy at 630x magnification (63x/NA 1.4 oil DIC). The images are in the CZI file format. They can be opened using Zeiss propriety software (Zen, Zen lite) or open microscopy software, such as ImageJ. More information on how to open CZI files can be found here: [https://www.zeiss.com/microscopy/us/products/microscope-software/zen/czi.html#microscope---image-data] ", "This dataset includes a total of 300 images of 45 extant species of Podocarpus (Podocarpaceae) and nine images of fossil specimens of the morphogenus Podocarpidites. The goal of this dataset is to capture the diversity of morphology within the genus and create an image database for training machine learning models.\r\n\r\nThe images were taken using Airyscan confocal superresolution microscopy at 630x magnification (63x/NA 1.4 oil DIC). The images are in the CZI file format. They can be opened using Zeiss propriety software (Zen, Zen lite) or open microscopy software, such as ImageJ. More information on how to open CZI files can be found here: [https://www.zeiss.com/microscopy/us/products/software/zeiss-zen/czi-image-file-format.html] \r\n\r\nPlease cite this dataset and listed publications when using these images.\r\n"]}
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2025-01-03T03:37:19Z
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Dataset
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update: {"keywords"=>["superresolution microscopy; Zeiss Airyscan; CZI images; conifer; saccate pollen; Podocarpus; Podocarpidites; Smithsonian Tropical Research Institute", "optical superresolution microscopy; Zeiss Airyscan; CZI images; conifer; saccate pollen; Podocarpus; Podocarpidites; Smithsonian Tropical Research Institute"]}
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2025-01-03T03:22:44Z
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Dataset
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update: {"publisher"=>["University of Illinois at Urbana-Champaign", "University of Illinois Urbana-Champaign"], "keywords"=>["superresolution microscopy; Zeiss Airyscan; CZI images; conifer; saccate pollen", "superresolution microscopy; Zeiss Airyscan; CZI images; conifer; saccate pollen; Podocarpus; Podocarpidites; Smithsonian Tropical Research Institute"]}
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2025-01-03T03:22:14Z
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RelatedMaterial
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destroy: {"material_type"=>"Article", "availability"=>nil, "link"=>"https://www.biorxiv.org/content/10.1101/2023.07.09.545296v1", "uri"=>nil, "uri_type"=>nil, "citation"=>" Deep learning approaches to the phylogenetic placement of extinct pollen morphotypes\r\nMarc Elie Adaime, Shu Kong, Surangi W. Punyasena\r\nbioRxiv 2023.07.09.545296; doi: https://doi.org/10.1101/2023.07.09.545296\r\n", "dataset_id"=>892, "selected_type"=>"Article", "datacite_list"=>nil, "note"=>nil, "feature"=>nil}
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2024-05-17T21:16:36Z
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Dataset
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update: {"publication_state"=>["metadata embargo", "released"]}
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2023-07-14T08:00:08Z
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