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UMMZ-oVert Project Project ID: 00000C490 Public
1505 Media · 873 Specimens · Managed by: Cody Thompson, Ramon Nagesan

Abstract - The oVert (openVertebrate) Thematic Collection Network (TCN) will generate and serve high-resolution digital three-dimensional (3D) data for internal anatomy across vertebrate diversity. Via a network of digitization centers across the US, more than 20,000 fluid-preserved specimens representing over 80% of the living genera of vertebrates will be CT-scanned. This will provide broad coverage for exploration and research on all major groups of vertebrates. Contrast-enhanced scans will be generated that reveal soft tissues and organs. This collection of digital imagery and three-dimensional volumes will be open for exploration, download, and use to address questions related to the discovery of new species, documenting patterns of anatomical diversity and growth, and testing hypotheses of function and evolution. The resource will provide unprecedented global access to valuable specimens in US museum collections and will develop best practices and guidelines for high-throughput CT-scanning, including efficient workflows, preferred resolutions, and archival formats that optimize the variety of downstream applications. Museum specialists will be trained on the generation, curation, and distribution of 3D data, researchers in using 3D anatomical data, and high school and undergraduate students in the tools for creating 3D anatomical models. To drive the use of these digital specimens by K-12 STEM educators, teacher-driven workshops that generate freely available lesson plans focused on specific science standards that are based on digital and printed 3D models of specimens in US museum collections. Please contact the appropriate collection manager regarding download requests: -Birds - Brett Benz (bwbenz@umich.edu) -Fishes - Randy Singer (randalas@umich.edu) -Mammals - Cody Thompson (cwthomp@umich.edu -Reptiles & Amphibians - Greg Schneider (ges@umich.edu) Technical questions should be directed to the UMMZ CT Lab Manager, Ramon Nagesan (rnagesan@umich.edu

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