21 to 28 of 28 Results
14 janv. 2022
Équipe mycoplasme. |
9 sept. 2020 - FOREST-GENETICS
Instituto Nacional de Tecnología Agropecuaria, 2020, "Multi-site F1 hybrid pine trials dataset. Tree improvement program INTA. Misiones, Argentina. 2017.", https://doi.org/10.18167/DVN1/FFGMFE, CIRAD Dataverse, V1
The Pinus elliottii var. elliottii Engelm (PEE) × Pinus caribaea var. hondurensis (Senecl) Barrett and Golfari (PCH) F1 hybrid data set used in this study was obtained from the tree improvement program initiated by the National Institute of Agricultural Technology (INTA, Argentin... |
9 sept. 2020
Data sets related to publications related to the genetic evaluation of forest-trees species, in collaboration with UMR BioForA - INRAE. |
31 août 2020
Knowledge-Attitude-Practice survey of several populations of breeders (commercial chicken, backyard chicken, commercial pigs, backyard pigs, integrated and aquaculture farmers) in Laos regarding Anti-Microbial Resistance (AMR) with supplementary socioeconomic variables and farm c... |
3 juin 2020 - AVIESAN
Molia, Sophie, 2020, "Survey of scientists from French-speaking countries on practices in research, surveillance and control of neglected tropical diseases by One Health approaches", https://doi.org/10.18167/DVN1/ZSKMLQ, CIRAD Dataverse, V1
This dataset contains answers to a 2019 online survey which aimed to make an inventory of the activities on neglected tropical diseases involving a One Health component in French-speaking tropical countries; to discuss the constraints and benefits encountered; and to propose reco... |
3 juin 2020
The francophone network on neglected tropical diseases. https://doi.org/10.1371/journal.pntd.0005738 |
12 mars 2020 - MOOD
Valentin, Sarah; Mercier, Alizé; Lancelot, Renaud; Roche, Mathieu; Arsevska, Elena, 2020, "PADI-web COVID-19 corpus: news articles manually labelled", https://doi.org/10.18167/DVN1/MSLEFC, CIRAD Dataverse, V1, UNF:6:yo9WiPe7jSdSA43cmAivxg== [fileUNF]
This dataset contains two files: a corpus of 275 manually labelled COVID-2019-news articles retrieved by PADI-web from Dec. 31, 2019, to Jan. 26, 2020 (padiweb_covid19.xlsx), and the multi-term expressions extracted from the news articles content using a text-mining tool, BIOTEX... |
12 mars 2020
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 |