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Publication Year: 2023

511 to 520 of 683 Results

Taconet_2023_R_script_data_analysis.R May 26, 2023 - Data and code for: Physiological and behavioural resistance of malaria vectors in rural West-Africa: a data mining study to adress their fine-scale spatiotemporal heterogeneity, drivers, and predictability R Source Code - 19.8 KB - MD5: 4ed0fe218c891fc0dcba314a5fce6e95 Code Main R script to be executed to reproduce the analysis (licensed under the GNU General Public License v3.0).
Taconet_2023_statistical_models.zip May 26, 2023 - Data and code for: Physiological and behavioural resistance of malaria vectors in rural West-Africa: a data mining study to adress their fine-scale spatiotemporal heterogeneity, drivers, and predictability ZIP Archive - 149.0 MB - MD5: a4094d27d5c9763ca3a8b7701dd71d84 Data Folder containing the models : because the models may take very long to fit (due to the size of the raw data), they were pre-fit and saved as RDS files in this folder. To reduce computation time, users may open them directly from this folder instead of re-fitting them. NB : This...
Taconet_2023_supplementary_file_1.pdf May 26, 2023 - Supplementary information for: Physiological and behavioural resistance of malaria vectors in rural West-Africa: a data mining study to adress their fine-scale spatiotemporal heterogeneity, drivers, and predictability Adobe PDF - 3.3 MB - MD5: 76223f8b7e7b2a608be9d0d563022e02 Documentation Plots and maps of the spatio-temporal distributions of the independent variables used in the models
Taconet_2023_supplementary_file_2.jpg May 26, 2023 - Supplementary information for: Physiological and behavioural resistance of malaria vectors in rural West-Africa: a data mining study to adress their fine-scale spatiotemporal heterogeneity, drivers, and predictability JPEG Image - 124.2 KB - MD5: 116fc5e18a860c0ac8e6cc5e76f4fa96 Documentation Graphical representation of the modeling workflow
Taconet_2023_supplementary_file_3.jpg May 26, 2023 - Supplementary information for: Physiological and behavioural resistance of malaria vectors in rural West-Africa: a data mining study to adress their fine-scale spatiotemporal heterogeneity, drivers, and predictability JPEG Image - 113.0 KB - MD5: 429f235c14b00e52c7096f661b3bdeac Documentation Plots of the spatio-temporal distribution of mosquito abundance
Taconet_2023_supplementary_file_5.pdf May 26, 2023 - Supplementary information for: Physiological and behavioural resistance of malaria vectors in rural West-Africa: a data mining study to adress their fine-scale spatiotemporal heterogeneity, drivers, and predictability Adobe PDF - 1.5 MB - MD5: f243641eb91c0799dbdcae7ec84e64f0 Documentation Evaluation of the explanatory and predictive performance of the models : boxplots of observed resistance status vs. predicted probabilities for all the GLMM and RF models
Taconet_2023_supplementary_information_readme.txt May 26, 2023 - Supplementary information for: Physiological and behavioural resistance of malaria vectors in rural West-Africa: a data mining study to adress their fine-scale spatiotemporal heterogeneity, drivers, and predictability Plain Text - 2.6 KB - MD5: 3d3ff291a9fd733eeb55a9e9bd03254e Documentation Dataset citation and description
Genotypic and phenotypic data for Rice hoja blanca disease resistance QTL analysis May 24, 2023 - DYNADIV Team Silva, Alexander; Montoya, María Elker; Quintero, Constanza; Cuasquer, Juan; Tohme, Joe; Graterol, Eduardo; Cruz, Maribel; Lorieux, Mathias, 2023, "Genotypic and phenotypic data for Rice hoja blanca disease resistance QTL analysis", https://doi.org/10.23708/EERVFW, DataSuds, V1, UNF:6:0DU/A3JpDpAzWfzkjq7pXA== [fileUNF] These data can be used to search for quantitative trait loci (QTLs) for resistance to the Rice hoja blanca disease: - Genotypic matrices of single nucleotide polymorphism (SNP) data in four independent F2, F3 segregating populations of rice (Oryza sativa L.) derived from resistan...
RHB_QTL_data.tab May 24, 2023 - Genotypic and phenotypic data for Rice hoja blanca disease resistance QTL analysis Tabular Data - 167.7 KB - 106 Variables, 371 Observations - UNF:6:0DU/A3JpDpAzWfzkjq7pXA== DataMetadata Excel workbook containing 4 sheets (individual populations), plus one sheet (four populations combined). When downloading, select option "MS Excel - Original File Format".
1_LULC_raster.tif May 17, 2023 - Land use land cover very high resolution map (1.5-m) for the area of Korhogo, Côte d'Ivoire, 2018 TIFF Image - 115.6 MB - MD5: 686881f9c46476123cdd6efde13481f0 Data The LULC georeferenced raster data

Taconet_2023_R_script_data_analysis.R

May 26, 2023 - Data and code for: Physiological and behavioural resistance of malaria vectors in rural West-Africa: a data mining study to adress their fine-scale spatiotemporal heterogeneity, drivers, and predictability

R Source Code - 19.8 KB -

Code

Main R script to be executed to reproduce the analysis (licensed under the GNU General Public License v3.0).

Taconet_2023_statistical_models.zip

ZIP Archive - 149.0 MB -

Data

Folder containing the models : because the models may take very long to fit (due to the size of the raw data), they were pre-fit and saved as RDS files in this folder. To reduce computation time, users may open them directly from this folder instead of re-fitting them. NB : This...

Taconet_2023_supplementary_file_1.pdf

May 26, 2023 - Supplementary information for: Physiological and behavioural resistance of malaria vectors in rural West-Africa: a data mining study to adress their fine-scale spatiotemporal heterogeneity, drivers, and predictability

Adobe PDF - 3.3 MB -

Documentation

Plots and maps of the spatio-temporal distributions of the independent variables used in the models

Taconet_2023_supplementary_file_2.jpg

JPEG Image - 124.2 KB -

Documentation

Graphical representation of the modeling workflow

Taconet_2023_supplementary_file_3.jpg

JPEG Image - 113.0 KB -

Documentation

Plots of the spatio-temporal distribution of mosquito abundance

Taconet_2023_supplementary_file_5.pdf

Adobe PDF - 1.5 MB -

Documentation

Evaluation of the explanatory and predictive performance of the models : boxplots of observed resistance status vs. predicted probabilities for all the GLMM and RF models

Taconet_2023_supplementary_information_readme.txt

Plain Text - 2.6 KB -

Documentation

Dataset citation and description

Genotypic and phenotypic data for Rice hoja blanca disease resistance QTL analysis

May 24, 2023 - DYNADIV Team

Silva, Alexander; Montoya, María Elker; Quintero, Constanza; Cuasquer, Juan; Tohme, Joe; Graterol, Eduardo; Cruz, Maribel; Lorieux, Mathias, 2023, "Genotypic and phenotypic data for Rice hoja blanca disease resistance QTL analysis", https://doi.org/10.23708/EERVFW, DataSuds, V1, UNF:6:0DU/A3JpDpAzWfzkjq7pXA== [fileUNF]

These data can be used to search for quantitative trait loci (QTLs) for resistance to the Rice hoja blanca disease: - Genotypic matrices of single nucleotide polymorphism (SNP) data in four independent F2, F3 segregating populations of rice (Oryza sativa L.) derived from resistan...

RHB_QTL_data.tab

May 24, 2023 - Genotypic and phenotypic data for Rice hoja blanca disease resistance QTL analysis

Tabular Data - 167.7 KB - 106 Variables, 371 Observations -

DataMetadata

Excel workbook containing 4 sheets (individual populations), plus one sheet (four populations combined). When downloading, select option "MS Excel - Original File Format".

1_LULC_raster.tif

May 17, 2023 - Land use land cover very high resolution map (1.5-m) for the area of Korhogo, Côte d'Ivoire, 2018

TIFF Image - 115.6 MB -

Data

The LULC georeferenced raster data

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