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1 to 10 of 15 Results
Nov 6, 2020 - Cesario Tavares Dataverse
Tavares, Cesario, 2020, "Replication Data for: "Effect of Strain History and Mixture Proportions on Early Age Cement Paste and Mortar Stress Relaxation"", https://doi.org/10.18738/T8/ECKBMK, Texas Data Repository Dataverse, V1
This study focuses on measurements of the relaxation modulus of cement paste and mortars at early ages (1-28 days). The influence of sand particles, aging, and w/c ratio on the viscoelastic behavior were investigated. A sensitivity analysis is used to compare the relaxation modul...
Cesario Tavares Dataverse(Texas A and M University)
Nov 6, 2020
Oct 18, 2020 - Fatemeh Pariafsai Dataverse
Pariafsai, Fatemeh, 2020, "Replication Data for: Review of Classification of Key Competencies for CPM (ASCE 1988-2019) October 2020", https://doi.org/10.18738/T8/KBYA5W, Texas Data Repository Dataverse, V2
This technical report aims to provide detailed information on the results of Stage I of the methodology used to find references that are potentially relevant to the topic “Classification of Key Competencies for Construction Project Management.” In Stage I, potentially relevant re...
Fatemeh Pariafsai Dataverse(Texas A and M University)
Oct 12, 2020
May 15, 2020 - Huilin Gao Dataverse
Gao, Huilin, 2020, "Hydropower reservoir data in the CONUS", https://doi.org/10.18738/T8/HZQQWH, Texas Data Repository Dataverse, V1
This dataset contains reservoir elevation, area, storage, and evaporartion data
Mar 18, 2020 - HAWQS Dataverse
HAWQS, 2020, "HAWQS System and Data to model the lower 48 conterminous U.S using the SWAT model", https://doi.org/10.18738/T8/XN3TE0, Texas Data Repository Dataverse, V1
The Hydrologic and Water Quality System (HAWQS) is a web-based modeling platform that utilizes the Soil and Water Assessment Tool (SWAT) for regional to nationwide assessments of different scenarios for water quality and hydrology. HAWQS allows users to easily create watershed mo...
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...
Mar 20, 2019 - Huilin Gao Dataverse
Gao, Huilin, 2019, "Replication Data for: CONUS Reservoir Evaporation Dataset (CRED)", https://doi.org/10.18738/T8/S8CJ7X, Texas Data Repository Dataverse, V1
By fusing remote sensing and modeling approaches, this study developed a novel method to accurately estimate the evaporation losses from 721 reservoirs in the contiguous United States (CONUS). Reservoir surface areas were extracted and enhanced from the Landsat based Global Surfa...
Huilin Gao Dataverse(Texas A and M University)
Jan 8, 2019
Sep 3, 2018 - TxDOT 0-6863: Pretensioned Concrete Bent Caps
Lee, Ju Dong; McKee, Codi D.; Birely, Anna C.; Mander, John B., 2018, "TxDOT 0-6863: Pretensioned Concrete Bent Caps Phase 1 Experimental Data", https://doi.org/10.18738/T8/HXPWMG, Texas Data Repository Dataverse, V2, UNF:6:Y6J7O70QSA6wrHeFBBTHkA== [fileUNF]
This dataset contains metadata and data collected during TxDOT Project 0-6863 on development of standards for precast, pretensioned concrete bent caps. Phase 1 tests are contained in this dataset. Phase 1 consisted of four specimens: 1. RCS-16-12: A solid reinforced concrete bent...
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