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Feb 27, 2021 - Jihui Ding Dataverse
Ding, Jihui, 2021, "Data Archive for Test of the Effective Stress Law for Semibrittle Deformation Using Isostatic and Triaxial Load Paths", https://doi.org/10.18738/T8/RMT7UO, Texas Data Repository, V1
Isostatic and triaxial compression tests on synthetic salt-rocks
Feb 17, 2021 - Frehg model
Li, Zhi, 2021, "v1.0", https://doi.org/10.18738/T8/CHBGJN, Texas Data Repository, V1
This dataset contains the source codes of the Frehg model.
Frehg model(University of Texas at Austin)
Feb 17, 2021University of Texas at Austin Dataverse Collection
Feb 2, 2021 - Permian
Morris, Alan, 2021, "Replication and Supplemental Data for "Stability of Basement-Rooted Faults in the Delaware Basin of West Texas and Southeast New Mexico by Alan P. Morris, Peter H. Hennings, Elizabeth A. Horne, Katie M. Smye", https://doi.org/10.18738/T8/XBVRUM, Texas Data Repository, V1
Supplemental data from this work includes Excel files containing details of stress state derivations, graphical plots similar to those of Figures 12, 14, 15, and 16, datasets required to generate maps and three-dimensional renderings of fault surfaces and their stability states u...
Feb 2, 2021 - Gunnar Schade Dataverse
Schade, Gunnar, 2021, "TxRRC Region 2 emissions and oil&gas permit data", https://doi.org/10.18738/T8/HBAPBB, Texas Data Repository, V1
Data associated with our publication in Energies in February 2021
Jan 25, 2021 - Dallas - Fort Worth
Gao, R.S., 2021, "Model Data for Gao et al (2021) “Low pressure build-up with large disposal volumes of oilfield water: A flow model of the Ellenburger Group, Fort-Worth Basin, North-Central Texas"", https://doi.org/10.18738/T8/CEQEDF, Texas Data Repository, V1
This archive contains data files used in the research paper published in the AAPG Bulletin in 2021: “Low pressure build-up with large disposal volumes of oilfield water: A flow model of the Ellenburger Group, Fort-Worth Basin, North-Central Texas”. The archive contains a zip fold...
Jan 13, 2021 - Machine Learning Methods and Geotechnical Engineering
Gajurel, Amit; Chittoori, Bhaskar; Mukherjee, Partha Sarathi; Sadegh, Mojtaba, 2021, "Database used in Machine Learning Methods to Map Stabilizer Effectiveness based on Common Soil Properties", https://doi.org/10.18738/T8/QORZZZ, Texas Data Repository, V3
This database consists of the unconfined compressive strength (UCS) of chemically stabilized soil along with data such as percentage of sand, silty, and clay, Liquid Limit (LL), Plastic Limit (PL), Plasticity Index (PI), percentage of stabilizer, and organic content. All of these...
Jan 5, 2021Texas A&M University Dataverse
This dataverse holds database of various Unconfined Compressive Strength (UCS) of soil with/without chemical stabilization based on common soil properties such as Atterbergs' Limits, gradation, type, and amount of chemical stabilization.
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