Posts tagged with research data in Blog Bits and Pieces

This Bits & Pieces blog post talks about the Detroit Metro Area Communities Study (DMACS) and its expansion, the Michigan Metro Area Communities Study (MIMACS), and their initial releases of closed-ended response data via the U-M Library's Deep Blue Data platform.

As a fully Open Access institutional data repository, Deep Blue Data was built to serve the best interests of the public, our depositors and their academic communities. We partner with scholars to bring data into the world in a way that is comprehensible, trustworthy and useful.

In this interview, Anja Sheppard, Ph.D. Candidate in Robotics, describes her research with the Field Robotics Group and why she decided to share his data set entitled "Machine Learning for Shipwreck Segmentation from Side Scan Sonar Imagery: Dataset and Benchmark" in Deep Blue Data.

In this interview, Dr. Brandon Ponder, Ph.D., describes his research as a graduate student in the Climate and Space Sciences and Engineering Department and why he decided to share his data set entitled "The Venus Global Ionosphere-Thermosphere Model (V-GITM): A Coupled Thermosphere and Ionosphere Formulation" in Deep Blue Data.

In this interview, Dr. Amir Salaree (Research Fellow at the Department of Earth and Environmental Sciences) describes his research and why he decided to share his data set entitled "Supporting Data for Solving a Seismic Mystery with a Diver's Camera" in Deep Blue Data.

This post highlights one of the new members to the DBRRDS team! Peter Cerda is Data Curation Specialist for Workflows and Big Data.

This post highlights one of the new members to the DBRRDS team! Daniel Alexander is Data Curation and Research Reproducibility Specialist. He'll be working jointly with MIDAS and the DBRRDS team.

In this interview, Dr. Adam Rountrey is the Research Museum Collection Manager (Vertebrates/Plants) and 3D Specialist at the University of Michigan Museum of Paleontology (UMMP) describes his research on hormone levels in woolly mammoth and African elephants tusks. Several CT scans of these specimens are available in Deep Blue Data.

In this interview, Yingxiao Zhang (PhD candidate in the Climate and Space Sciences department) describes why she decided to share the data set entitled "Simulated historical (1995-2014) and future (2081-2100) pollen emission using PECM2.0" in Deep Blue Data.

In this interview, Dr. Adam Schneider (U-M alum; PhD in Atmospheric, Oceanic and Space Sciences 2018) described why he decided to share the data set entitled "Supporting data for the Near-Infrared Emitting and Reflectance-Monitoring Dome" in Deep Blue Data.