Featured Dataverses

In order to use this feature you must have at least one published or linked 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

8,841 to 8,850 of 11,533 Results
Data_Set_4.RData.gz
Oct 22, 2018 - New deep learning genomic prediction model for multi-traits with mixed binary, ordinal, and continuous phenotypes
Gzip Archive - 7.0 MB - MD5: bc2a4fce307e769e24b9f477e14592f6
Data_Set_5.RData.gz
Oct 22, 2018 - New deep learning genomic prediction model for multi-traits with mixed binary, ordinal, and continuous phenotypes
Gzip Archive - 6.8 MB - MD5: 0af143aab2914c4d065ef8ef9037632d
Data_Set_6.RData.gz
Oct 22, 2018 - New deep learning genomic prediction model for multi-traits with mixed binary, ordinal, and continuous phenotypes
Gzip Archive - 153.6 KB - MD5: d891bbd1db0577097ef9ce267581237f
Data_Set_7.RData.gz
Oct 22, 2018 - New deep learning genomic prediction model for multi-traits with mixed binary, ordinal, and continuous phenotypes
Gzip Archive - 261.2 KB - MD5: f0396ede52b49e1a91090a95e299bc31
SUPPLEMENTARY MATERIAL.docx
Oct 22, 2018 - New deep learning genomic prediction model for multi-traits with mixed binary, ordinal, and continuous phenotypes
MS Word - 358.9 KB - MD5: 6bfa2583115c2816b2945150fb882e77
Supplementary-Materials-final.docx
Oct 8, 2018 - Supplemental Materials for The Relative Efficiency of Three Constrained Multistage Linear Phenotypic Selection Indices
MS Word - 358.0 KB - MD5: 02e60fff9e7c5c038887aa8a2dde15c8
This file has supplementary material of the article "The Relative Efficiency of Three Constrained Multistage Linear Phenotypic Selection Indices"
WEExCIM56.hdf5
Oct 4, 2018 - Populations Axiom SNPs Data - John Innes Centre
application/hdf5 - 157.6 KB - MD5: 0a89e800da124c61292bf715b14cf564
Converted data to HDF5 format for the Germinate Wheat Database
WEExCIM56_pop_axiom.xlsx
Oct 4, 2018 - Populations Axiom SNPs Data - John Innes Centre
MS Excel Spreadsheet - 310.3 KB - MD5: 1e18e3639779c4cf7c0cd8e3e5ec23f1
2-letter nucleotide SNPs call original matrix
WEExCIM56_transposed.txt
Oct 4, 2018 - Populations Axiom SNPs Data - John Innes Centre
Plain Text - 167.3 KB - MD5: f58953e24686e563a787094b601ba38c
Reformatted and transposed 1-letter nucleotide SNPs call matrix
IWYP39 2017 Field Trial Data University of Adelaide.zip
Oct 3, 2018 - Green house and field evaluation of transgenic wheat overexpressing AVP1, NAS2 and PSTOL1 genes for higher grain yield
ZIP Archive - 80.2 KB - MD5: 7a223f34c050eaa8930aa7c001729a9d
Phenotypic data collected in the field for IWYP39 in 2017 by the University of Adelaide. The data consist of phenotypic measurements for AVP1 and NAS2 single genes.
Add Data

Sign up or log in to create a dataverse or add a dataset.

Sign Up 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.