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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Rossa, Carlos G. | |
| dc.contributor.author | Fernandes, Paulo M. | |
| dc.date.accessioned | 2018-11-11T13:08:37Z | |
| dc.date.accessioned | 2020-09-06T17:30:55Z | - |
| dc.date.available | 2018-11-11T13:08:37Z | |
| dc.date.available | 2020-09-06T17:30:55Z | - |
| dc.date.issued | 2018 | - |
| dc.identifier.isbn | 978-989-26-16-506 (PDF) | |
| dc.identifier.uri | https://hdl.handle.net/10316.2/44674 | - |
| dc.language.iso | eng | - |
| dc.publisher | Imprensa da Universidade de Coimbra | por |
| dc.relation.ispartof | http://hdl.handle.net/10316.2/44517 | por |
| dc.rights | open access | - |
| dc.subject | fire behaviour | eng |
| dc.subject | live fuels | eng |
| dc.subject | empirical models | eng |
| dc.subject | outdoors fires | eng |
| dc.subject | fire management | eng |
| dc.title | Field-tested laboratory-derived models to predict forest fire front spread rate | por |
| dc.type | bookPart | por |
| uc.publication.firstPage | 1278 | - |
| uc.publication.lastPage | 1279 | - |
| uc.publication.location | Coimbra | por |
| dc.identifier.doi | 10.14195/978-989-26-16-506_157 | - |
| uc.publication.section | Chapter 7 - Short Contributions | por |
| uc.publication.digCollection | PB | por |
| uc.publication.orderno | 157 | - |
| uc.publication.area | Ciências da Engenharia e Tecnologias | por |
| uc.publication.bookTitle | Advances in forest fire research 2018 | - |
| uc.publication.manifest | https://dl.uc.pt/json/iiif/10316.2/44674/203843/manifest?manifest=/json/iiif/10316.2/44674/203843/manifest | - |
| uc.publication.thumbnail | https://dl.uc.pt/retrieve/11056127 | - |
| uc.publication.parentItemId | 55072 | - |
| uc.itemId | 68755 | - |
| item.fulltext | With Fulltext | - |
| item.grantfulltext | open | - |
| 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.