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Texas A&M University Dataverse (Texas A&M University)
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1 to 10 of 11 Results
Timothy Callaghan Dataverse(Texas A and M University)
Oct 2, 2017
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...
Rainy and Dry Seasons (RADS)(Texas A and M University)
Jul 13, 2018
A set of global gridded datasets containing the onset and end dates of the wet season (one date per year) as well as the intensity (accumulated precipitation) and the duration of the wet and dry seasons.
RADS_CPC_UNI(Texas A and M University)
Jul 26, 2018Rainy and Dry Seasons (RADS)
A global gridded dataset containing the onset and end dates of the wet season (one date per year) as well as the intensity (accumulated precipitation) and the duration of the wet and dry seasons. This dataset was calculated using precipitation from the Climate Prediction Center U...
RADS_CHIRPS(Texas A and M University)
Sep 17, 2018Rainy and Dry Seasons (RADS)
Kronenberg et al 2017 Dataverse(Texas A and M University)
Oct 20, 2017Andreas Kronenberg Dataverse
This collection contains data for Kronenberg et al (2017) Synchrotron FTIR imaging of OH in quartz mylonites, Solid Earth, 8, 1-21
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...
Feb 2, 2018
This dataverse contains experimental data for "Time Dependent Consolidation in Porous Geomaterials at In Situ Conditions of Temperature and Pressure"
Avery Kramer Dataverse(Texas A and M University)
Apr 23, 2020
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