Metrics
117,611 Downloads
Contact Share
Featured Dataverses

In order to use this feature you must have at least one published dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

301 to 310 of 312 Results
Leaf_area_FW_AMMI.txt
Jan 16, 2025 - Modeling plant phenotypic plasticity and its underlying genetic architecture (France, 2022-2025)
Plain Text - 70.3 KB - MD5: 27e23412aa3ce6ac288d06223c23aa70
Data
Leaf area data formatted to perform the Finlay-Wilkinson and AMMI analysis
Leaf_area_RDPI_CV_Ratio.txt
Jan 16, 2025 - Modeling plant phenotypic plasticity and its underlying genetic architecture (France, 2022-2025)
Plain Text - 24.2 KB - MD5: ebb3eccf350751507a213b44b08c735b
Data
Leaf area data formatted for calculation of RDPI, CV and ratio
Percentage_Variance_Leaf_area.R
Jan 16, 2025 - Modeling plant phenotypic plasticity and its underlying genetic architecture (France, 2022-2025)
R Syntax - 22.8 KB - MD5: 60d79039f2b3661f9db372bd8f78efae
Code
Script used to estimate the genetic variance captured by QTL associated with the different plasticity indices (ratio, RDPI, CV, Slope, MSE and D) for leaf area
Phenotypic_Mean.txt
Jan 16, 2025 - Modeling plant phenotypic plasticity and its underlying genetic architecture (France, 2022-2025)
Plain Text - 92.7 KB - MD5: 00de13f5ac45af0624c9ec6e64b3dbec
Data
Leaf area, shoot biomass and water use efficiency measured on 244 maize genotypes grown under well-watered and water stress treatments in four independent trials performed in different years and seasons
Plasticity_Leaf_area.R
Jan 16, 2025 - Modeling plant phenotypic plasticity and its underlying genetic architecture (France, 2022-2025)
R Syntax - 5.1 KB - MD5: 72174bca3b6997ccdec54f711fbc92c3
Code
Script used to calculate the different plasticity indices (ratio, RDPI, CV, Slope, MSE, D and ASV) for leaf area
Step_Forward_approach_Leaf_area_ratio_QTLs.R
Jan 16, 2025 - Modeling plant phenotypic plasticity and its underlying genetic architecture (France, 2022-2025)
R Syntax - 9.0 KB - MD5: 697d52550175ea56dc6d4916a2fe2502
Code
Script used to perform the step forward analysis for the ratio of leaf area
WUE_FW_AMMI.txt
Jan 16, 2025 - Modeling plant phenotypic plasticity and its underlying genetic architecture (France, 2022-2025)
Plain Text - 72.2 KB - MD5: 95598ebda96baaa76590feeedc2f48af
Data
Water use efficiency data formatted for the Finlay-Wilkinson and AMMI analysis
WUE_RDPI_CV_Ratio.txt
Jan 16, 2025 - Modeling plant phenotypic plasticity and its underlying genetic architecture (France, 2022-2025)
Plain Text - 24.2 KB - MD5: 006a1c225568b22de7c3c4c403a0066e
Data
Water use efficiency data formatted for calculation of RDPI, CV and ratio
The terrestrial small mammal community of Bamako, Mali (2021-2023)
The terrestrial small mammal community of Bamako, Mali (2021-2023)
Jan 13, 2025 - UMR CBGP
Granjon, Laurent; Ag Atteynine, Solimane; Diagne, Christophe, 2025, "The terrestrial small mammal community of Bamako, Mali (2021-2023)", https://doi.org/10.23708/UBPRJ5, DataSuds, V1, UNF:6:NZ0uKGoJ9Vnpw1NZvDUYxQ== [fileUNF]
Rats of the genus Rattus (especially R. norvegicus the brown rat and R. rattus the black rat) and mice of the genus Mus (especially Mus musculus the domestic mouse) are unanimously recognized as among the “worst” invasive alien species globally. In West Africa, these three specie...
Commensal_small_mammals_Bamako_data_dictionary.tab
Jan 13, 2025 - The terrestrial small mammal community of Bamako, Mali (2021-2023)
Tabular Data - 3.2 KB - 9 Variables, 25 Observations - UNF:6:XubD8blXBfcbbn3Fz7zVAA==
Documentation
Bamako small mammal data dictionary
Add Data

Log in to create a dataverse or add a dataset.

Log In
Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.