1,651 to 1,660 of 8,495 Results
May 2, 2024 -
Simbi database: historical hydro-meteorological time series and catchment attributes in Haiti, 1905-2005
ZIP Archive - 2.0 KB -
MD5: a795fad1df2f2476c2a293664d5071e1
Parameters of the GR2M and the GR4J rainfall-runoff models and the KGE scores. |
May 2, 2024 -
Simbi database: historical hydro-meteorological time series and catchment attributes in Haiti, 1905-2005
ZIP Archive - 2.5 KB -
MD5: 7be9569ec64ff3c85a9a6dc769debe72
R script for importing data, calculating catchment scale data and calibrating the GR2M models. |
May 2, 2024 -
Simbi database: historical hydro-meteorological time series and catchment attributes in Haiti, 1905-2005
ZIP Archive - 4.8 KB -
MD5: 41023081da5d0713dca5fe5d2886773c
Metadata for the rainfall and the streamflow times series |
Apr 29, 2024 - UMR MIVEGEC
Lefèvre, Thierry; Ouattara, Seydou Bienvenu, 2024, "R script and replication data for: A simple and practical method to increase the infectivity of wild isolates of Plasmodium falciparum to mosquito vectors", https://doi.org/10.23708/F7S6I2, DataSuds, V1
Populations of the most important human malaria vectors in Africa offer instances of ongoing adaptations to new ecological niches set by human actions in the context of global change, with the dramatic consequence of emerging and re-emerging sustained malaria transmission in new... |
Plain Text - 2.6 KB -
MD5: 830feae070ae70b1b2ac57d6c4db094c
ReadMe file - data citation, description and terms of use. |
Plain Text - 889 B -
MD5: 41b43b26deb8286d2538e4ff1f622d8d
Dataset feeding rate (figure 2a) |
Plain Text - 44.7 KB -
MD5: 3b0c00e4eaf7064030cc4ffa53a80332
Dataset infectivity (figure 3a,b) |
Plain Text - 51.1 KB -
MD5: 04f0e27465d319a3d9ba3b66ff9e6702
Dataset mosquito mortality (figure 2b) |
R Syntax - 3.7 KB -
MD5: d5c079a498b199c7d75a89f44abf9957
R code |
Apr 29, 2024 - DYNADIV Team
Lorieux, Mathias; Triay, Cécile, 2024, "Called genotypes (chromosome 1) from Illumina whole-genome sequencing of an Indica x Japonica rice F2 population", https://doi.org/10.23708/8FXUNC, DataSuds, V1
Motivation: Genotyping of bi-parental populations can be performed with low-coverage next-generation sequencing (LC-NGS). This allows the creation of highly saturated genetic maps at reasonable cost, precisely localized recombination breakpoints (i.e., the crossovers), and minimi... |
