2,662
edits
7th Annual Digital Data Conference, Arizona State University: Difference between revisions
7th Annual Digital Data Conference, Arizona State University (view source)
Revision as of 13:30, 17 May 2023
, 17 May 2023→Tuesday, 6 June 2023
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| colspan="1" style="vertical-align:top;" | 2:45 - 3:00 | | colspan="1" style="vertical-align:top;" | 2:45 - 3:00 | ||
| colspan="1" style="vertical-align:top;" |Comparing perspectives of academics and government professionals on their use of online information systems and their reuse of species occurrence data (Martin) | | colspan="1" style="vertical-align:top;" |Comparing perspectives of academics and government professionals on their use of online information systems and their reuse of species occurrence data (Martin) | ||
| colspan="1" style="vertical-align:top;" | | | colspan="1" style="vertical-align:top;" | Leveraging deep computer vision to inform conservation assessments and the response of North American butterfly communities to global change (Shirey) | ||
| colspan="1" style="vertical-align:top;" | Using robotics to 3D-scan pinned insects and storing models in PlutoF platform: A six-axis tool to acquire focus-stacked macroscopical images for photogrammetrical digitization (Ylinampa) | | colspan="1" style="vertical-align:top;" | Using robotics to 3D-scan pinned insects and storing models in PlutoF platform: A six-axis tool to acquire focus-stacked macroscopical images for photogrammetrical digitization (Ylinampa) | ||
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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) | | colspan="1" style="vertical-align:top;" | Completeness analysis for over 3000 United States bee species identifies persistent data gaps (Chesshire) | ||
| colspan="1" style="vertical-align:top;" | | | colspan="1" style="vertical-align:top;" | 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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