41 to 50 of 85 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... |
Dupuy, Stéphane; Gaetano, Raffaele, 2020, "Reunion island - 2019, Land cover map (Spot6/7) - 1.5m", https://doi.org/10.18167/DVN1/YZJQ7Q, CIRAD Dataverse, V1
As part of THEIA (the French Data and Services center for continental surfaces) CIRAD's TETIS research unit is developing an automated mapping method based on the Moringa chain that minimizes interactions with users by automating most image analysis and processing. The methodolog... |
