Natural History Collections
May 8, 2020
Alexis Garretson
NSF Graduate Research Fellow ACM SIGHPC Computational & Data Science Fellow
Evolutionary genomics for fertility biology
Posts
Throughout the eastern U.S., fall colors arrived behind schedule, which scientists say is a sign of things to come.
Last updated on
Dec 28, 2021
1 min read
My work is highlighted on the ESIP Community Fellows Blog
Alexis Garretson
Last updated on
May 11, 2020
1 min readMy dataset on amphibian breeding was highlighted as EDI’s featured data contribution
Alexis Garretson
Last updated on
May 11, 2020
1 min readI gave this talk to the 2018 class of Arctic Summer College Fellows
Last updated on
May 11, 2020
1 min read
Publications
This preprint presents a comprehensive update to the global distribution map of Mus musculus, utilizing genetic and bioclimatic data to inform evolutionary studies.
Alexis Garretson, Laura Blanco-Berdugo, Beth Dumont
We find significant changes in the timing fall color change using herbarium specimens
Garretson, Alexis, Rebecca E. Forkner
Our data support recent studies that suggest yellow traps alone may be insufficient for sampling the true diversity of certain hymenopteran groups in a region.
Matthew L. Buffington Alexis Garretson Robert R. Kula Michael W. Gates Ryan Carpenter David R. Smith Abigail A.R. Kula
Our findings demonstrate the value of digitized herbarium specimens for long-term phenology research.
Alexis Garretson, Rebecca Forkner
The data risk assessment framework presented in this paper provides a platform from which risk assessments can begin, and a reference point for discussions of data stewardship resource allocations and priorities.
Mayernik, Matthew S.; Breseman, Kelsey; Downs, Robert R.; Duerr, Ruth; Garretson, Alexis; Hou, Chung-Yi (Sophie); Environmental Data Governance Initiative (EDGI) & Earth Science Information Partners (ESIP) Data Stewardship Committee
With more than 2,480 individual species sampling dates and more than 151,701 recorded individual occurrences of the nine amphibian species, the described dataset represents the longest and largest time-series of herpetological sampling with paired water quality data
Alexis Garretson, Megan Napoli, Natalie Feldsine, Penelope Adler-Colvin, Elizabeth Long