Content Warning: This project contains images that some may find distressing. Images may contain prepared animal specimens representing all or parts of the animal. However there will be no blood or body fluids in these images. Natural history collections are important repositories of specimens and information about their morphological, reproductive, physiological, and behavioral properties. These data allow scientists to establish biodiversity baselines and better predict global change response. Collecting animals for scientific study is a well-established practice that follows strict guidelines on the capture, handling, use, and preservation of individuals. To learn more about these please see: https://academic.oup.com/jmammal/article/97/1/287/2459794
Results
Results will be regularly uploaded to public aggregators such as iDigBio portal and included in FuTRES (Functional Trait Resource for Environmental Studies). FuTRES is a workflow for assembling functional trait data measured at the specimen level, and a database to serve that data. It is based on a semantic model and is powered by extensible parsers, a backend database, and an API. A key aspect of FuTRES is the ability to collect, store, aggregate, and share data at the individual or specimen and higher levels without loss of information.