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/10316.2/31325| Title: | Computational thermochemistry: accurate estimation and prediction of molecular thermochemical parameters | Authors: | Morais, Victor M. F. | Issue Date: | 2011 | Publisher: | Imprensa da Universidade de Coimbra | Journal: | http://hdl.handle.net/10316.2/2853 | URI: | https://hdl.handle.net/10316.2/31325 | ISBN: | 978-989-26-0240-0(PDF) | DOI: | 10.14195/978-989-26-0240-0_9 | Rights: | open access |
| Appears in Collections: | Quantal aspects in chemistry and physics: a tribute to the memory of Professor Couceiro da Costa |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 1_9-_quantal_aspects.pdf | 450.87 kB | Adobe PDF |  |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.