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Welcome to the Texas Data Repository, a research data management system for Texas Digital Library (TDL) member institutions. To add, share, and publish your data or work on a project, select your local institutional repository from the institutions below. To find datasets from across Texas institutional Dataverse collections, start here.

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1 to 10 of 1,513 Results

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 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, 2021University of Texas at Austin Dataverse Collection
Replication Data for: Short- and long-range crowding effects on water’s hydrogen bond networks Apr 6, 2021 - University of Texas at Austin Dataverse Collection 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...
r-flip and MST2 algorithms: data files and results Apr 6, 2021 - Texas A&M International University Dataverse Wang, Haibo, 2020, "r-flip and MST2 algorithms: data files and results", https://doi.org/10.18738/T8/WDFBR5, Texas Data Repository, V2 The results of r-flip (r=1 and r=2) and MST2 algorithms for quadratic unconstrained binary optimization instances with size of 3000-8000 and 30,000
202104_earlytexMetadata_1973_001 Apr 5, 2021 - University of Houston Digital Collections Dataverse UH Libraries Metadata and Digitization Services Department, 2021, "202104_earlytexMetadata_1973_001", https://doi.org/10.18738/T8/B1U1S2, Texas Data Repository, V1 Pre-work collection metadata for Early Texas Documents as part of reparative metadata efforts.
Comparison of Rating, Ranking, and Pairwise Methods Apr 5, 2021 - Data for Reliable Visual Analysis of Single-Case Data Brossart, Dan, 2021, "Comparison of Rating, Ranking, and Pairwise Methods", https://doi.org/10.18738/T8/AIYOBL, Texas Data Repository, V1 Data from the article: Reliable Visual Analysis of Single-Case Data: A Comparison of Rating, Ranking, and Pairwise Methods http://dx.doi.org/10.1080/23311908.2021.1911076
Data for Reliable Visual Analysis of Single-Case Data(Texas A&M University) Apr 5, 2021Texas A&M University Dataverse Repository Data used in the article: Reliable Visual Analysis of Single-Case Data: A Comparison of Rating, Ranking, and Pairwise Methods http://dx.doi.org/10.1080/23311908.2021.1911076
Edward P. Jones - Short Story Locations - Vol. 1 Apr 2, 2021 - Black Studies & Digital Humanities Dataverse Rambsy, Kenton; Bryant, John; Chaudhary, Hira; Dennis, Michael; Falkenstein, Misty; Foggie, Ahmed; Ford, Terrance; Harrison, Jade; Phelps, Lauren; Riojas, Michael; Sumili, Mohammed Ali H; Zitting, Angela, 2020, "Edward P. Jones - Short Story Locations - Vol. 1", https://doi.org/10.18738/T8/BB70Z2, Texas Data Repository, V2 This dataset documents Edward P. Jones’s consistent focus on Washington D.C. as a setting in his two short story collections. During the Fall semester of 2017, in the graduate course ENGL 5324, my students and I used digital tools and performed close reads to extract actual locat...

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

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, 2021University of Texas at Austin Dataverse Collection

Replication Data for: Short- and long-range crowding effects on water’s hydrogen bond networks

Apr 6, 2021 - University of Texas at Austin Dataverse Collection

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...

r-flip and MST2 algorithms: data files and results

Apr 6, 2021 - Texas A&M International University Dataverse

Wang, Haibo, 2020, "r-flip and MST2 algorithms: data files and results", https://doi.org/10.18738/T8/WDFBR5, Texas Data Repository, V2

The results of r-flip (r=1 and r=2) and MST2 algorithms for quadratic unconstrained binary optimization instances with size of 3000-8000 and 30,000

202104_earlytexMetadata_1973_001

Apr 5, 2021 - University of Houston Digital Collections Dataverse

UH Libraries Metadata and Digitization Services Department, 2021, "202104_earlytexMetadata_1973_001", https://doi.org/10.18738/T8/B1U1S2, Texas Data Repository, V1

Pre-work collection metadata for Early Texas Documents as part of reparative metadata efforts.

Comparison of Rating, Ranking, and Pairwise Methods

Apr 5, 2021 - Data for Reliable Visual Analysis of Single-Case Data

Brossart, Dan, 2021, "Comparison of Rating, Ranking, and Pairwise Methods", https://doi.org/10.18738/T8/AIYOBL, Texas Data Repository, V1

Data from the article: Reliable Visual Analysis of Single-Case Data: A Comparison of Rating, Ranking, and Pairwise Methods http://dx.doi.org/10.1080/23311908.2021.1911076

Data for Reliable Visual Analysis of Single-Case Data(Texas A&M University)

Apr 5, 2021Texas A&M University Dataverse Repository

Data used in the article: Reliable Visual Analysis of Single-Case Data: A Comparison of Rating, Ranking, and Pairwise Methods http://dx.doi.org/10.1080/23311908.2021.1911076

Edward P. Jones - Short Story Locations - Vol. 1

Apr 2, 2021 - Black Studies & Digital Humanities Dataverse

Rambsy, Kenton; Bryant, John; Chaudhary, Hira; Dennis, Michael; Falkenstein, Misty; Foggie, Ahmed; Ford, Terrance; Harrison, Jade; Phelps, Lauren; Riojas, Michael; Sumili, Mohammed Ali H; Zitting, Angela, 2020, "Edward P. Jones - Short Story Locations - Vol. 1", https://doi.org/10.18738/T8/BB70Z2, Texas Data Repository, V2

This dataset documents Edward P. Jones’s consistent focus on Washington D.C. as a setting in his two short story collections. During the Fall semester of 2017, in the graduate course ENGL 5324, my students and I used digital tools and performed close reads to extract actual locat...

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