71 to 80 of 129 Results
Roche, Mathieu; Helmer, Thierry; Martin, Pierre; Csorba, Adam; Chaminuka, Petronella; Dimitriou, Ioannis; van Boheemen, Peter; Carrasco, Violeta; Joutsjoki, Vesa; Lindsten, Agneta; Lundén, Tomas; Okalany, Emmanuel; Rokka, Susanna, 2021, "KEOPS - LEAP4FNSSA - Indexing", https://doi.org/10.18167/DVN1/MLFIPV, 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... |
Martin, Pierre; Roche, Mathieu; Helmer, Thierry; Csorba, Adam; Chaminuka, Petronella; Dimitriou, Ioannis; van Boheemen, Peter; Joutsjoki, Vesa; Lansac, Rocío; Lindsten, Agneta; Lundén, Tomas; Okalany, Emmanuel; Rokka, Susanna, 2021, "KEOPS - LEAP4FNSSA - Classification", https://doi.org/10.18167/DVN1/ZLMEIE, 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... |
Helmer, Thierry; Martin, Pierre; Roche, Mathieu; Csorba, Adam; Chaminuka, Petronella; Dimitriou, Ioannis; van Boheemen, Peter; Carrasco, Violeta; Lutzeyer, Hans-Jörg,; Joutsjoki, Vesa; Lindsten, Agneta; Lundén, Tomas; Okalany, Emmanuel; Petithuguenin, Philippe; Plath, Melissa; Rokka, Susanna; Moephuli, Shadrack; Weissteiner, Christof, 2021, "KEOPS - LEAP4FNSSA - Output", https://doi.org/10.18167/DVN1/6PYG2O, 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... |
Lentschat, Martin; Buche, Patrice; Menut, Luc, 2020, "TRANSMAT Gold Standard", https://doi.org/10.18167/DVN1/U7HK8J, CIRAD Dataverse, V3, UNF:6:D0te91j6BiKD23wqCty2/A== [fileUNF]
This dataset presents a Gold Standard of data annotated on documents from the Science Direct website. The entities annotated are the ones related to permeability n-Ary relations, as defined in the TRANSMAT Ontology (https://ico.iate.inra.fr/atWeb/, https://doi.org/10.15454/NK24ID... |
Audrey Jolivot; Cesaro, Jean-Daniel; Simon Taugourdeau; Gond, Valery; Daniel Cornelis; Regis Peltier, 2021, "Mapping of the ecosystem banks of Amu Darya (Uzbekistan)", https://doi.org/10.18167/DVN1/B6MAVG, CIRAD Dataverse, V1
In 2011, the Government of Uzbekistan established the Lower Amudarya Biosphere Reserve (LABR). This protected area aims to conserve the tugay forest: a natural area specific to the stream banks of permanent rivers in Central Asia. The tugay is a riparian forest gallery over sever... |
Jolivot, Audrey, 2020, "Cartographie de l'occupation du sol de la zone des Niayes (Sénégal) en 2006 et 2014 (30m de résolution)", https://doi.org/10.18167/DVN1/PA53SW, CIRAD Dataverse, V2
La zone d'étude se situe au nord ouest du Sénégal et s'étale sur 5 100km². Elle inclue la ville de Thiès et une partie de la ville de Dakar, et remonte jusqu'à Kébémer, aux portes du désert de Loumpoul. Chaque carte d'occupation du sol a été réalisée à partir de deux images satel... |
Jolivot, Audrey, 2021, "Cartographie de l'occupation du sol de la zone des Niayes (Sénégal) en 2018 (1.5 m de résolution)", https://doi.org/10.18167/DVN1/KJAS6S, CIRAD Dataverse, V1
La zone d'étude se situe au nord ouest du Sénégal et s'étale sur 5 100km². Elle inclue la ville de Thiès et une partie de la ville de Dakar, et remonte jusqu'à Kébémer, aux portes du désert de Loumpoul. La carte d'occupation 2018 a été réalisée à partir d'une image à Très Haute R... |
21 déc. 2020
Tran, Annelise; Le Minter, Gildas; Balleydier, Elsa; Etheves, Anaïs; Laval, Morgane; Boucher, Floriane; Guernier, Vanina; Lagadec, Erwan; Mavingui, Patrick; Cardinale, Eric; Tortosa, Pablo, 2020, "Map of rat fleas distribution, Reunion Island", https://doi.org/10.18167/DVN1/TWNWG6, CIRAD Dataverse, V1
Map of predicted Xenopsylla Genus Flea Index (GFI) based on climatic and environmental variables, Reunion Island. Xenopsylla cheopis and Xenopsylla brasiliensis are known vectors of Rickettsia typhi, a pathogenic bacterium causing murine typhus, a neglected zoonotic disease. GFI... |
21 déc. 2020
Roche, Mathieu, 2020, "COVID-19 and media dataset: Mining textual data according periods and countries (UK, Spain, France)", https://doi.org/10.18167/DVN1/ZUA8MF, CIRAD Dataverse, V2
These datasets contain a set of news articles in English, French and Spanish extracted from Medisys (i‧e. advanced search) according the following criteria: (1) Keywords (at least): COVID-19, ncov2019, cov2019, coronavirus; (2) Keywords (all words): masque (French), mask (English... |
10 déc. 2020
Degenne, Pascal; Lo Seen, Danny; Tran, Annelise, 2020, "ALBOMAURICE: a predictive model for mapping Aedes albopictus mosquito populations in Mauritius", https://doi.org/10.18167/DVN1/FL7QML, CIRAD Dataverse, V1
The software runs a mosquito population dynamics model to predict the temporal and spatial abundance of Aedes Albopictus, the Dengue disease vector in Mauritius. For each geographical unit, it solves a system of ordinary differential equations describing different stages of the m... |
