1. 

   2019 EDSIN Conference Proceedings

   out of 5 stars 

   02 Apr 2021 | Contributor(s): Alycia Crall, Carrie Diaz Eaton, Wendy Gram, Shobhana Gupta, AJ Lauer, Lea Shanley, Sarah A Stone, Bonnie Swan, Elizabeth Sudduth, Kaitlin Stack Whitney, Kamuela Yong | doi:10.25334/9C03-1518

   Bringing Conversations on Diversity and Inclusion in Data Science to the Ecological and Environmental Sciences, was a 3-day conference hosted at the UCAR's Center Green in Boulder, Colorado, April 2-4, 2019.

2. 

   Backyard Beetles + Pollinators: EREN-NEON Flexible Learning Project

   out of 5 stars 

   18 Aug 2020 | Contributor(s): Kaitlin Stack Whitney | doi:10.25334/94M4-MR72

   Students observe insect pollinators and other floral visitors in their backyards, or campus, or nearby natural areas to describe plant-pollinator networks and assess how the assemblages from their sites compare to those in a range of landscapes.

3. 

   Searching for disability as biodiversity in digitized natural history collections

   out of 5 stars 

   27 Mar 2020 | Contributor(s): Kaitlin Stack Whitney | doi:10.25334/BC3C-BK60

   This module uses digitized natural history and biodiversity collections to explore if, how, and whether disability can be studied in nonhumans as a form of biodiversity.

4. 

   Biodiversity research using digitized, internet-based natural history collections

   out of 5 stars 

   17 Dec 2019 | Contributor(s): Kaitlin Stack Whitney | doi:10.25334/RSKN-MQ83

   Collections based research is a critical tool for organismal biology and biodiversity research. Yet natural history collections have a complicated past. This multi-class module examines the origins, problems, and current uses of collections.

5. 

   Introduction to Data Management and Metadata using NEON aquatic macroinvertebrate data

   out of 5 stars 

   30 Sep 2019 | Contributor(s): Kaitlin Stack Whitney | doi:10.25334/SJX1-F373

   This lesson focuses on understanding metadata, the data about the data, using aquatic macroinvertebrate abundance and species information from a variety of NEON sampling locations.

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