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RelatedMaterial
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create: {"material_type"=>"Article", "availability"=>nil, "link"=>"https://doi.org/10.1016/j.revpalbo.2023.104860", "uri"=>"10.1016/j.revpalbo.2023.104860", "uri_type"=>"DOI", "citation"=>" O.J. Wilson, The 3D Pollen Project: An open repository of three-dimensional data for outreach, education and research, Review of Palaeobotany and Palynology (2023), https://doi.org/10.1016/j.revpalbo.2023.104860\r\n", "dataset_id"=>897, "selected_type"=>"Article", "datacite_list"=>"IsCitedBy"}
|
2023-02-16T19:26:32Z
|
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Creator
|
update: {"email"=>["punyasena@life.illinois.edu", "spunya1@illinois.edu"]}
|
2021-03-23T15:17:57Z
|
|
Dataset
|
update: {"corresponding_creator_email"=>["punyasena@life.illinois.edu", "spunya1@illinois.edu"]}
|
2021-03-23T15:17:57Z
|
|
Funder
|
create: {"name"=>"U.S. National Science Foundation (NSF)", "identifier"=>"10.13039/100000001", "identifier_scheme"=>"DOI", "grant"=>"NSF-DBI-1262561 to S.W.P. ", "dataset_id"=>897, "code"=>"NSF"}
|
2021-03-23T15:16:44Z
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|
RelatedMaterial
|
update: {"citation"=>["Ingrid C. Romeroa, Shu Kong, Charless C. Fowlkes, Carlos Jaramillod, Michael A. Urban, Francisca Oboh-Ikuenobe, Carlos D’Apolito, and Surangi W. Punyasena. Improving the taxonomy of fossil pollen using convolutional neural networks and superresolution microscopy. PNAS first published October 23, 2020; https://doi.org/10.1073/pnas.2007324117", "Ingrid C. Romero, Shu Kong, Charless C. Fowlkes, Carlos Jaramillo, Michael A. Urban, Francisca Oboh-Ikuenobe, Carlos D’Apolito, and Surangi W. Punyasena. Improving the taxonomy of fossil pollen using convolutional neural networks and superresolution microscopy. PNAS first published October 23, 2020; https://doi.org/10.1073/pnas.2007324117"]}
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2021-03-23T15:12:38Z
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RelatedMaterial
|
create: {"material_type"=>"Article", "availability"=>nil, "link"=>"https://doi.org/10.1073/pnas.2007324117", "uri"=>"10.1073/pnas.2007324117", "uri_type"=>"DOI", "citation"=>"Ingrid C. Romeroa, Shu Kong, Charless C. Fowlkes, Carlos Jaramillod, Michael A. Urban, Francisca Oboh-Ikuenobe, Carlos D’Apolito, and Surangi W. Punyasena. Improving the taxonomy of fossil pollen using convolutional neural networks and superresolution microscopy. PNAS first published October 23, 2020; https://doi.org/10.1073/pnas.2007324117", "dataset_id"=>897, "selected_type"=>"Article", "datacite_list"=>"IsSupplementTo"}
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2020-10-26T21:45:29Z
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RelatedMaterial
|
create: {"material_type"=>"Code", "availability"=>nil, "link"=>"https://github.com/aimerykong/deepPollen", "uri"=>"https://github.com/aimerykong/deepPollen", "uri_type"=>"URL", "citation"=>"https://github.com/aimerykong/deepPollen", "dataset_id"=>897, "selected_type"=>"Code", "datacite_list"=>"IsSupplementedBy"}
|
2020-10-26T21:45:29Z
|
|
Dataset
|
update: {"subject"=>["", "Life Sciences"]}
|
2020-10-26T21:45:29Z
|
|
Dataset
|
update: {"publication_state"=>["metadata embargo", "released"]}
|
2020-10-20T06:00:06Z
|