7th Annual Digital Data Conference, Arizona State University: Difference between revisions

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| colspan="1" style="vertical-align:top;" | 2:15 - 2:30
| colspan="1" style="vertical-align:top;" | 2:15 - 2:30
| colspan="1" style="vertical-align:top;" | Using collection data to determine harvesting hotspots for the most traded and threatened medicinal plants of the Eastern Cape province in South Africa (Welcome) <br> [https://drive.google.com/file/d/1kr-sUaU6w_N_TsYTpKCTVV_dO8bcQd5-/view?usp=sharing Pre-recorded Presentation]
| colspan="1" style="vertical-align:top;" | Using collection data to determine harvesting hotspots for the most traded and threatened medicinal plants of the Eastern Cape province in South Africa (Welcome) <br> [https://drive.google.com/file/d/1kr-sUaU6w_N_TsYTpKCTVV_dO8bcQd5-/view?usp=sharing Pre-recorded Presentation]
| colspan="1" style="vertical-align:top;" | A workflow for capturing ichthyology collections’ information (Cruz) <br> [https://drive.google.com/file/d/1P193S1PY94RJkcTM3nFMsd52tnRLzI6K/view?usp=sharing Pre-recorded Presentation]
| colspan="1" style="vertical-align:top;" | (Virtual) A workflow for capturing ichthyology collections’ information (Cruz) <br> [https://drive.google.com/file/d/1P193S1PY94RJkcTM3nFMsd52tnRLzI6K/view?usp=sharing Pre-recorded Presentation]
| colspan="1" style="vertical-align:top;" | Automated Multi-View Imaging of Pinned Insects (Tran) <br> [https://drive.google.com/file/d/1_NrkOS7ARxIaLJwAWFuh9NZVi1ZnV3y0/view?usp=sharing Pre-recorded Presentation]
| colspan="1" style="vertical-align:top;" | Automated Multi-View Imaging of Pinned Insects (Tran) <br> [https://drive.google.com/file/d/1_NrkOS7ARxIaLJwAWFuh9NZVi1ZnV3y0/view?usp=sharing Pre-recorded Presentation]
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| colspan="1" style="vertical-align:top;" | 2:30 - 2:45
| colspan="1" style="vertical-align:top;" | 2:30 - 2:45
| colspan="1" style="vertical-align:top;" | Monarch Migration Models: Visualizing Global and Local Priorities for Western Land Managers (Young) <br> [https://drive.google.com/file/d/1T9_vxAixAVXq33Rt5dY2clyHBr_Ic4_F/view?usp=sharing Pre-recorded Presentation]
| colspan="1" style="vertical-align:top;" | Monarch Migration Models: Visualizing Global and Local Priorities for Western Land Managers (Young) <br> [https://drive.google.com/file/d/1T9_vxAixAVXq33Rt5dY2clyHBr_Ic4_F/view?usp=sharing Pre-recorded Presentation]
| colspan="1" style="vertical-align:top;" | Fish-AIR - A Fish Image Dataset with Built-In Image Quality Management System (Wang)
| colspan="1" style="vertical-align:top;" | (Virtual) Fish-AIR - A Fish Image Dataset with Built-In Image Quality Management System (Wang)
| colspan="1" style="vertical-align:top;" | Building a Pipeline for Label Reconstruction on the Pin (Hereld)
| colspan="1" style="vertical-align:top;" | Building a Pipeline for Label Reconstruction on the Pin (Hereld)
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| colspan="1" style="vertical-align:top;" | 3:15 - 3:30
| colspan="1" style="vertical-align:top;" | 3:15 - 3:30
| colspan="1" style="vertical-align:top;" | Completeness analysis for over 3000 United States bee species identifies persistent data gaps (Chesshire) <br> [https://drive.google.com/file/d/1KwccoFFlLDfs8G0fuyyJ7mh_smqaNLQc/view?usp=sharing Pre-recorded Presentation]
| colspan="1" style="vertical-align:top;" | Completeness analysis for over 3000 United States bee species identifies persistent data gaps (Chesshire) <br> [https://drive.google.com/file/d/1KwccoFFlLDfs8G0fuyyJ7mh_smqaNLQc/view?usp=sharing Pre-recorded Presentation]
| colspan="1" style="vertical-align:top;" | '''''Virtual'''''<br> A New, Global Estimate for Biocrust Carbon and Nitrogen Flux from Terrestrial Ecosystems (Janapaty)
| colspan="1" style="vertical-align:top;" | (Virtual) A New, Global Estimate for Biocrust Carbon and Nitrogen Flux from Terrestrial Ecosystems (Janapaty)
| colspan="1" style="vertical-align:top;" | Availability of image preprocessing metadata terms and their effects on calculation of suitability of datasets for machine learning pipelines (Altintas)  
| colspan="1" style="vertical-align:top;" | Availability of image preprocessing metadata terms and their effects on calculation of suitability of datasets for machine learning pipelines (Altintas)  
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