Subject: Computer and Information Science
Subject: Agricultural Sciences
Publication Year: 2022
Data Type: Text
1 to 3 of 3 Results
25 oct. 2022
Tran, Annelise; Mahuzier, Christophe; Morand, Serge, 2022, "Simulated future land cover maps according to different change scenarios, Nan Province, Thailand", https://doi.org/10.18167/DVN1/BRW2DR, CIRAD Dataverse, V1, UNF:6:GfNBdmtXGehqvuCyHeaxrA== [fileUNF]
This dataset holds the results of different simulations of land cover changes over Nan Province, Thailand, up to 2030. ESA global land cover maps (1992-2015) were used as initialization maps (ESA, 2017). A land-cover (LC) change model was constructed from 1992-2015 maps. Three fu... |
13 mai 2022
Roche, Mathieu; Martin, Pierre; Helmer, Thierry, 2022, "PRETORIA lexicon", https://doi.org/10.18167/DVN1/WJT7U2, CIRAD Dataverse, V1
The Long-term EU-AU Research and Innovation Partnership for Food and Nutrition Security and Sustainable Agriculture (LEAP4FNSSA) is a Coordination and Support Action (CSA). The main objective of the project is to provide a tool for European and African institutions to engage in a... |
3 janv. 2022
Lentschat, Martin, 2022, "TRANSMAT n-Ary relations", https://doi.org/10.18167/DVN1/1BBJBQ, CIRAD Dataverse, V1, UNF:6:xTM1cMCmnS2wfmB5Fr5slg== [fileUNF]
This dataset presents a Gold Standard of data annotated on documents from the Science Direct website. The relations are related to permeability n-Ary relations, as defined in the TRANSMAT Ontology (a href="https://ico.iate.inra.fr/atWeb/">https://ico.iate.inra.fr/atWeb/, https://... |