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561 to 570 of 603 Results
MOOD(CIRAD - Centre de coopération internationale en recherche agronomique pour le développement)
MOOD logo
12 mars 2020UMR ASTRE
Horizon 2020 Project : MOOD - MOnitoring Outbreak events for Disease surveillance in a data science context Projet Horizon 2020 : MOOD - Veille sanitaire des maladies infectieuses dans un contexte de science des données
UMR ASTRE(Univ Montpellier, CIRAD, INRAE)
UMR ASTRE logo
11 mars 2020
Unité mixte de recherche - Animal · Santé · Territoires · Risques · Écosystèmes Gestionnaire : Facundo Muñoz (facundo point munoz at cirad point fr)
COEX-DataVerse logo
9 mars 2020UMR AGAP Institut
L'ambition globale du projet CoEx est d'améliorer notre compréhension de l’inadéquation entre les politiques et les lois sur les semences et les ressources génétiques d’un côté, et les pratiques de gestion de la diversité des cultures, de l’autre côté. Par ailleurs, il s’agit de...
2 mars 2020 - BREEDCAFS project
Djerrab, Doâa; Bertrand, Benoît; Mieulet, Delphine, 2020, "Transcriptomics of the Coffea arabica tree exposed to two photoperiods during a circadian cycle", https://doi.org/10.18167/DVN1/OPZLML, CIRAD Dataverse, V1
We exposed Coffea arabica trees to it’s natural intertropical optimal photoperiod of 12h/12h (day/night) or to a short day photoperiod of 8h/16h. After 12 weeks of exposition, Sampling was performed every 3 hours, starting from Zeitgeber time (ZT) 0 and ZT24. Three replicates wer...
MS Excel Spreadsheet - 17,6 MB - MD5: 8cb3b62371e3726f34d1cd0743d50ec0
Time-series RNA-seq data
Genetique_Innovation_Varietale(CIRAD-UMR AGAP Institut)
21 févr. 2020UMR AGAP Institut
L’équipe travaille principalement sur deux plantes cibles, riz et sorgho, mais aussi sur plusieurs espèces à racines et tubercules et eucalyptus. Ses recherches portent sur les méthodologies de sélection pour l’innovation variétale et la caractérisation de l’agrobiodiversité. The...
18 févr. 2020 - UMR TETIS
Rumiano, Florent; Miguel, Eve; Valls-Fox, Hugo; Chamaillé-Jammes, Simon; Caron, Alexandre; Tran, Annelise, 2020, "Monthly surface water maps, Hwange National Park, Zimbabwe, 2018", https://doi.org/10.18167/DVN1/KPSYME, CIRAD Dataverse, V1
Monthly surface water maps, Hwange National Park, Zimbabwe, derived from Sentinel-2 images (2018) TEMPO project: Remote sensing and Spatial modelling of animal mobility - Application to the study of wildlife/livestock contacts and risk of pathogen transmission http://tempo.cirad....
TIFF Image - 1,6 MB - MD5: 08796fc5999b3039c9cf9f40c8790bf8
Surface water, January 2018, TIF format (water pixel value = 1)
TIFF Image - 1,6 MB - MD5: 1e46e39cdecb4077c721b4a558957f77
Surface water, February 2018, TIF format (water pixel value = 1)
TIFF Image - 1,8 MB - MD5: af882efc936f31094ebdf8368d4578cd
Surface water, March 2018, TIF format (water pixel value = 1)
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