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Dataset
|
update: {"publication_state"=>["version candidate under curator review", "released"], "release_date"=>[nil, Thu, 12 Dec 2024]}
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2024-12-12T12:37:11Z
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Dataset
|
update: {"description"=>["This dataset supports the implementation described in the manuscript \"Breaking the Barrier of Human-Annotated Training Data for Machine-Learning-Aided Biological Research Using Aerial Imagery.\" It consists of UAV aerial imagery used to execute the code available at https://github.com/pixelvar79/GAN-Flowering-Detection-paper. For detailed information on dataset usage and instructions on implementing the code to reproduce the study, please refer to the GitHub repository.", "This dataset supports the implementation described in the manuscript \"Breaking the Barrier of Human-Annotated Training Data for Machine-Learning-Aided Biological Research Using Aerial Imagery.\" It comprises UAV aerial imagery used to execute the code available at https://github.com/pixelvar79/GAN-Flowering-Detection-paper. For detailed information on dataset usage and instructions for implementing the code to reproduce the study, please refer to the GitHub repository."]}
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2024-11-27T15:52:35Z
|
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Dataset
|
update: {"hold_state"=>["version candidate under curator review", "none"]}
|
2024-11-26T15:57:36Z
|
|
Dataset
|
update: {"version_comment"=>[nil, "Images need to be transformed to required format for Github script"]}
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2024-11-26T14:55:45Z
|
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RelatedMaterial
|
create: {"material_type"=>"Dataset", "availability"=>nil, "link"=>"https://doi.org/10.13012/B2IDB-8462244_V1", "uri"=>"10.13012/B2IDB-8462244_V1", "uri_type"=>"DOI", "citation"=>"Varela, Sebastian; Leakey, Andrew (2024): Dataset: Breaking the barrier of human-annotated training data for machine-learning-aided plant research using aerial imagery . University of Illinois Urbana-Champaign. https://doi.org/10.13012/B2IDB-8462244_V1", "dataset_id"=>2834, "selected_type"=>"Dataset", "datacite_list"=>"IsNewVersionOf", "note"=>nil, "feature"=>nil}
|
2024-11-26T14:53:17Z
|
|
RelatedMaterial
|
create: {"material_type"=>"Code", "availability"=>nil, "link"=>"https://github.com/pixelvar79/GAN-Flowering-Detection-paper", "uri"=>"https://github.com/pixelvar79/ESGAN-Flowering-Detection-paper", "uri_type"=>"URL", "citation"=>"ESGAN-Flowering-Detection-paper", "dataset_id"=>2834, "selected_type"=>"Code", "datacite_list"=>"IsSupplementedBy", "note"=>"", "feature"=>nil}
|
2024-11-26T14:53:17Z
|
|
Funder
|
create: {"name"=>"U.S. Department of Energy (DOE)", "identifier"=>"10.13039/100000015", "identifier_scheme"=>"DOI", "grant"=>"DE-SC0018420", "dataset_id"=>2834, "code"=>"DOE"}
|
2024-11-26T14:53:16Z
|
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Creator
|
create: {"family_name"=>"Leakey", "given_name"=>"Andrew", "identifier"=>"0000-0001-6251-024X", "email"=>"leakey@illinois.edu", "is_contact"=>false, "row_position"=>2}
|
2024-11-26T14:53:16Z
|
|
Creator
|
create: {"family_name"=>"Varela", "given_name"=>"Sebastian", "identifier"=>"0000-0001-8064-3636", "email"=>"sv79@illinois.edu", "is_contact"=>true, "row_position"=>1}
|
2024-11-26T14:53:16Z
|
|
Dataset
|
update: {"corresponding_creator_name"=>[nil, "Sebastian Varela"], "corresponding_creator_email"=>[nil, "sv79@illinois.edu"]}
|
2024-11-26T14:53:16Z
|
