Skip to main content
Texas A&M University Dataverse (Texas A&M University)
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.

Find Advanced Search

1 to 10 of 27 Results
Aug 21, 2020Journal of Regulatory Science
This is a risk assessment for 6 mineral contaminants and 4 essential minerals. A total of 1466 samples were collected from 18 product categories during 2010 to 2018. The 18 product categories were divided into 11 finished feed (689 samples) categories and 7 feed ingredient catego...
Journal of Regulatory Science(Texas A and M University)
Aug 21, 2020
The Journal of Regulatory Science (JRS) is an online open-access journal intended for scholars with an interest in regulatory science. The JRS publishes free of charge, peer-reviewed scientific manuscripts, proposed standard evaluations and rapid communications to advance the dis...
Salvatore Calabrese's Dataverse(Texas A&M University, Biological and Agricultural Engineering)
Jul 31, 2020
This dataverse includes datasets created and used for our research.
May 5, 2020
This dataverse contains code, processed, and raw data for the Texas A&M University Department of Ecology and Conservation Biology partnership project with the National Ecological Observatory Network at Lyndon B. Johnson National Grassland from May 2019-February 2020.
PSBarboza Dataverse(Texas AM University)
May 4, 2020
Projects in P.S.Barboza's group of students and collaborators ORCID# 0000-0002-1489-6448
Avery Kramer Dataverse(Texas A and M University)
Apr 23, 2020
HAWQS Dataverse(Texas A and M University)
Mar 18, 2020
The HAWQS project (http://hawqs.tamu.edu) developed in cooperation with USDA-ARS and USEPA for the lower 48 states of the conterminous US to model the water quantity and quality due to land management changes using the SWAT (http://swat.tamu.edu) model and associated databases av...
Joseph Awika Dataverse(Texas A and M University)
Oct 5, 2018
Quality and functional attributes of highly digestible sorghum mutants
RADS_CHIRPS(Texas A and M University)
Sep 17, 2018Rainy and Dry Seasons (RADS)
Add Data

Log in to create a dataverse or add a dataset.

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.

Contact Texas Data Repository Dataverse TDL Dataverse Support

Texas Data Repository Dataverse TDL Dataverse Support

Please fill this out to prove you are not a robot.

+ =