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)
Learn More
Please use this identifier to cite or link to this item:
https://hdl.handle.net/10316.2/44674| Title: | Field-tested laboratory-derived models to predict forest fire front spread rate | Authors: | Rossa, Carlos G. Fernandes, Paulo M. |
Keywords: | fire behaviour;live fuels;empirical models;outdoors fires;fire management | Issue Date: | 2018 | Publisher: | Imprensa da Universidade de Coimbra | Journal: | http://hdl.handle.net/10316.2/44517 | URI: | https://hdl.handle.net/10316.2/44674 | ISBN: | 978-989-26-16-506 (PDF) | DOI: | 10.14195/978-989-26-16-506_157 | Rights: | open access |
| Appears in Collections: | Advances in forest fire research 2018 |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| field-tested_laboratory-derived_models.pdf | 580 kB | Adobe PDF |  |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.