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Publication Year: 2024

691 to 700 of 965 Results

S4_Introduction_GenomeWideAssociationStudy_GWAS.pdf May 16, 2024 - High throughput genetic diversity analyses of neglected crops: training data, codes and materials (Africa) Adobe PDF - 912.5 KB - MD5: da9c01bfb9ae62fefc2a5b288cc9889d Documentation Introduction to the core concept of genome wide association studies.
S4_script_GWAS_basic_Rcode.pdf May 16, 2024 - High throughput genetic diversity analyses of neglected crops: training data, codes and materials (Africa) Adobe PDF - 73.2 KB - MD5: 17bd3bb83031e7349c5d4730581569e8 Documentation This file comments on the R script for GWAS analysis.
S4_Script_GWAS_Introduction.pdf May 16, 2024 - High throughput genetic diversity analyses of neglected crops: training data, codes and materials (Africa) Adobe PDF - 574.9 KB - MD5: b3bd4b806a6968e50f665cd4e34e832b Documentation This file presents a script for GWAS analysis using R. We used a dataset of pearl millet accessions (Varshney et al. 2017).
sample_metadata.tab May 16, 2024 - High throughput genetic diversity analyses of neglected crops: training data, codes and materials (Africa) Tabular Data - 2.5 KB - 5 Variables, 55 Observations - UNF:6:LNg1C4IBq05VUN9bbZDOeQ== Data Table containing the passport data of the pearl millet accessions. This data file is associated with the script "S1_Introduction_to_R_Passport.html". These data are published in Berthouly-Salazar et al. (2016).
SIRAD(UMR PRODIG - CNRS, Univ. Paris 1 Panthéon-Sorbonne, Univ. Paris Diderot, IRD, AgroParisTech) May 14, 2024UMR PRODIG Pour faire face à la vulnérabilité de la capitale péruvienne suite à un séisme, le projet Sirad (Sistema de Información sobre Recursos para la Atención de Desastres en Lima y Callao) a été mené entre avril 2010 et février 2011 par l’équipe Pacivur (Programme andin de formation et...
Water discharge and water level output from the MAGE 1D hydrodynamic model for the Saigon and Dongnai rivers, Vietnam, 2016-2022 May 13, 2024 - UMR IGE Rodrigues Do Amaral, Francisco; Camenen, Benoit; Nguyen, Trung Tin; Tran, Anh Tu; Pellarin, Thierry; Gratiot, Nicolas, 2024, "Water discharge and water level output from the MAGE 1D hydrodynamic model for the Saigon and Dongnai rivers, Vietnam, 2016-2022", https://doi.org/10.23708/KLQMSR, DataSuds, V1, UNF:6:PGOnzXhvk15rYLhlrVTmig== [fileUNF] This dataset is the result of a publication that explores calibration strategies and operational implications of 1D hydrodynamic modeling using the Mage code in the Saigon-Dongnai system in Vietnam. Three calibration approaches for the Mage model are evaluated, and coupling with...
0_ReadMe.txt May 13, 2024 - Water discharge and water level output from the MAGE 1D hydrodynamic model for the Saigon and Dongnai rivers, Vietnam, 2016-2022 Plain Text - 1.5 KB - MD5: 252fed996aee97b36f7db50c9fc0fa83 Documentation Dataset citation, description and terms of use.
1_READ_ME.pdf May 13, 2024 - Water discharge and water level output from the MAGE 1D hydrodynamic model for the Saigon and Dongnai rivers, Vietnam, 2016-2022 Adobe PDF - 682.7 KB - MD5: d8b9a465fafc4a734295415b94a2809a Documentation Read me file with information about these model output data.
Dongnai_discharge_MAGE-HQ.tab May 13, 2024 - Water discharge and water level output from the MAGE 1D hydrodynamic model for the Saigon and Dongnai rivers, Vietnam, 2016-2022 Tabular Data - 17.2 MB - 33 Variables, 57552 Observations - UNF:6:dwNL6YzVN0aeWP+1I7IkNA== DataTime Series Water discharge output [m^3/s] for the Dongnai River from MAGE-HQ.
Dongnai_discharge_MAGE-H.tab May 13, 2024 - Water discharge and water level output from the MAGE 1D hydrodynamic model for the Saigon and Dongnai rivers, Vietnam, 2016-2022 Tabular Data - 17.1 MB - 33 Variables, 57552 Observations - UNF:6:Ox/FFyPvyto0vqjW+S2Rcw== DataTime Series Water discharge output [m^3/s] for the Dongnai River from MAGE-H.

S4_Introduction_GenomeWideAssociationStudy_GWAS.pdf

May 16, 2024 - High throughput genetic diversity analyses of neglected crops: training data, codes and materials (Africa)

Adobe PDF - 912.5 KB -

Documentation

Introduction to the core concept of genome wide association studies.

S4_script_GWAS_basic_Rcode.pdf

May 16, 2024 - High throughput genetic diversity analyses of neglected crops: training data, codes and materials (Africa)

Adobe PDF - 73.2 KB -

Documentation

This file comments on the R script for GWAS analysis.

S4_Script_GWAS_Introduction.pdf

May 16, 2024 - High throughput genetic diversity analyses of neglected crops: training data, codes and materials (Africa)

Adobe PDF - 574.9 KB -

Documentation

This file presents a script for GWAS analysis using R. We used a dataset of pearl millet accessions (Varshney et al. 2017).

sample_metadata.tab

May 16, 2024 - High throughput genetic diversity analyses of neglected crops: training data, codes and materials (Africa)

Tabular Data - 2.5 KB - 5 Variables, 55 Observations -

Data

Table containing the passport data of the pearl millet accessions. This data file is associated with the script "S1_Introduction_to_R_Passport.html". These data are published in Berthouly-Salazar et al. (2016).

SIRAD(UMR PRODIG - CNRS, Univ. Paris 1 Panthéon-Sorbonne, Univ. Paris Diderot, IRD, AgroParisTech)

May 14, 2024UMR PRODIG

Pour faire face à la vulnérabilité de la capitale péruvienne suite à un séisme, le projet Sirad (Sistema de Información sobre Recursos para la Atención de Desastres en Lima y Callao) a été mené entre avril 2010 et février 2011 par l’équipe Pacivur (Programme andin de formation et...

Water discharge and water level output from the MAGE 1D hydrodynamic model for the Saigon and Dongnai rivers, Vietnam, 2016-2022

May 13, 2024 - UMR IGE

Rodrigues Do Amaral, Francisco; Camenen, Benoit; Nguyen, Trung Tin; Tran, Anh Tu; Pellarin, Thierry; Gratiot, Nicolas, 2024, "Water discharge and water level output from the MAGE 1D hydrodynamic model for the Saigon and Dongnai rivers, Vietnam, 2016-2022", https://doi.org/10.23708/KLQMSR, DataSuds, V1, UNF:6:PGOnzXhvk15rYLhlrVTmig== [fileUNF]

This dataset is the result of a publication that explores calibration strategies and operational implications of 1D hydrodynamic modeling using the Mage code in the Saigon-Dongnai system in Vietnam. Three calibration approaches for the Mage model are evaluated, and coupling with...

0_ReadMe.txt

May 13, 2024 - Water discharge and water level output from the MAGE 1D hydrodynamic model for the Saigon and Dongnai rivers, Vietnam, 2016-2022

Plain Text - 1.5 KB -

Documentation

Dataset citation, description and terms of use.

1_READ_ME.pdf

May 13, 2024 - Water discharge and water level output from the MAGE 1D hydrodynamic model for the Saigon and Dongnai rivers, Vietnam, 2016-2022

Adobe PDF - 682.7 KB -

Documentation

Read me file with information about these model output data.

Dongnai_discharge_MAGE-HQ.tab

May 13, 2024 - Water discharge and water level output from the MAGE 1D hydrodynamic model for the Saigon and Dongnai rivers, Vietnam, 2016-2022