DSpace CRIS
DSpace-CRIS consists of a data model describing objects of interest to Research and Development and a set of tools to manage the data. Standard DSpace is used to deal with publications and data sets, whereas DSpace-CRIS involves other CRIS entities: Researcher Pages, Projects, Organization Units and Second Level Dynamic Objects (single entities specialized by a profile, such as Journal, Prize, Event etc; because any profile can define its own set of properties and nested objects)
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Browsing by Author Riley, Karin L.
Showing results 1 to 2 of 2
| Issue Date | Title | Author(s) |
|---|---|---|
| 2014 | Predicting wildfire ignitions, escapes, and large fire activity using Predictive Service’s 7-Day Fire Potential Outlook in the western USA | Riley, Karin L.; Stonesifer, Crystal; Preisler, Preisler; Calkin, Dave |
| 2014 | Utilizing random forests imputation of forest plot data for landscape-level wildfire analyses | Riley, Karin L.; Grenfell, Isaac C.; Finney, Mark A.; Crookston, Nicholas L. |