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University of Texas at Austin Dataverse Collection (University of Texas)
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The University of Texas at Austin Dataverse collection serves as a platform for publishing and archiving the University's research data. It was established to help UT-Austin's research community meet data sharing requirements, to facilitate data citation, and to promote collaboration and reproducibility.
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Test method for separation of bitumen into four fractions using pre-packaged cartridges
Test method for separation of bitumen into four fractions using pre-packaged cartridges
Apr 7, 2021 - SARA Analysis
Bhasin, Amit, 2021, "Test method for separation of bitumen into four fractions using pre-packaged cartridges", https://doi.org/10.18738/T8/WY0MQ8, Texas Data Repository, V1
This is a detailed step-by-step procedure to conduct Si-SARA fractionation of asphalt binders
Supporting Information - Distributed and Vectorized Method of Characteristics for Fast Transient Simulations in Water Distribution Systems
Supporting Information - Distributed and Vectorized Method of Characteristics for Fast Transient Simulations in Water Distribution Systems
Apr 7, 2021 - Gerardo Riano
Riano Briceno, Gerardo; Sela, Lina; Hodges, Ben R., 2021, "Supporting Information - Distributed and Vectorized Method of Characteristics for Fast Transient Simulations in Water Distribution Systems", https://doi.org/10.18738/T8/OTC0OO, Texas Data Repository, V2
Supporting information for the paper Distributed and Vectorized Method of Characteristics for Fast Transient Simulations in Water Distribution Systems
SARA Analysis(University of Texas at Austin)
Apr 7, 2021Pavement Science and Engineering
This dataverse contains information related to FAST-SARA aka Simple SARA aka Si-SARA. It includes step-by-step procedure and a video for the method.
Pavement Science and Engineering(University of Texas at Austin)
Apr 7, 2021
Replication Data for: Short- and long-range crowding effects on water’s hydrogen bond networks
Replication Data for: Short- and long-range crowding effects on water’s hydrogen bond networks
Apr 6, 2021
Baiz, Carlos, 2021, "Replication Data for: Short- and long-range crowding effects on water’s hydrogen bond networks", https://doi.org/10.18738/T8/5BA9PU, Texas Data Repository, V1
Data for manuscript: Short- and long-range crowding effects on water’s hydrogen bond networks, Cell Reports Physical Science. Authors: Xiao You, Joseph C. Shirley, Euihyun Lee, Carlos R. Baiz Department of Chemistry, University of Texas at Austin, Austin, TX 78757, USA email: cba...
Network Visualizations
Apr 1, 2021 - Arts Partnership Network Assessment
Papendieck, Adam, 2021, "Network Visualizations", https://doi.org/10.18738/T8/KBZWKN, Texas Data Repository, V1
High resolution network visualizations
Network Data
Apr 1, 2021 - Arts Partnership Network Assessment
Papendieck, Adam, 2021, "Network Data", https://doi.org/10.18738/T8/XHQUNI, Texas Data Repository, V2
Sociomatrices, attribute tables and unique partner (UIDP) and school IDs (UIDPS) used for network visualization.
Semistructured Interview Guide
Apr 1, 2021 - Arts Partnership Network Assessment
Papendieck, Adam, 2021, "Semistructured Interview Guide", https://doi.org/10.18738/T8/BWQA2P, Texas Data Repository, V1
Interview facets, question and target information for semistructured interviews.
R Scripts
Apr 1, 2021 - Arts Partnership Network Assessment
Papendieck, Adam, 2021, "R Scripts", https://doi.org/10.18738/T8/HNW7TJ, Texas Data Repository, V1
R scripts for data preparation and analysis
Qualitative Codes
Apr 1, 2021 - Arts Partnership Network Assessment
Papendieck, Adam, 2021, "Qualitative Codes", https://doi.org/10.18738/T8/IEE5AF, Texas Data Repository, V1
Deductive and inductive (emergent) qualitative codes developed for analysis of partners and partnership types.
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