Texas A&M University Dataverse

Featured Dataverses

In order to use this feature you must have at least one published dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Subject: Computer and Information Science

1 to 9 of 9 Results

Short Rubric Scores for Texas A&M Libraries DAMS Evaluation Feb 20, 2019 - Libraries DAMS Eval Task Force Dataverse Sewell, Robin R.; Potvin, Sarah; Melgoza, Pauline; Creel, James Silas; Huff, Jeremy T.; Bailey, Gregory T.; Buckner, Sean; duPlessis, Anton R.; Furubotten, Lisa; Mosbo Ballestro, Julie A.; Muise, Ian W.; Wright, Brian J., 2019, "Short Rubric Scores for Texas A&M Libraries DAMS Evaluation", https://doi.org/10.18738/T8/9RIMO0, Texas Data Repository Dataverse, V3, UNF:6:L2qSHQVKFuPloHmxXyRkAw== [fileUNF] Microsoft Excel (xslx) and csv version of the Texas A&M University Libraries DAMS Task Force Short Rubric evaluation of DSpace, Islandora, Hydra/Sufia, Nuxeo, and ResourceSpace.
Researchers’ Participation in and Motivations for Engaging with Research Information Management Systems Jan 13, 2018 - Researcher Participation in Research Information Management Systems (RIMSs) Stvilia, Besiki; Wu, Shuheng; Lee, Dong Joon, 2018, "Researchers’ Participation in and Motivations for Engaging with Research Information Management Systems", https://doi.org/10.18738/T8/HUNOMY, Texas Data Repository Dataverse, V1 Research data for a paper: "Researchers’ Participation in and Motivations for Engaging with Research Information Management Systems"
Long Rubric Scores for Texas A&M Libraries DAMS Evaluation Feb 20, 2019 - Libraries DAMS Eval Task Force Dataverse Sewell, Robin R.; Potvin, Sarah; Melgoza, Pauline; Creel, James Silas; Huff, Jeremy T.; Bailey, Gregory T.; Bondurant, John; Buckner, Sean; duPlessis, Anton R.; Furubotten, Lisa; Mosbo Ballestro, Julie A.; Muise, Ian W.; Wright, Brian J., 2019, "Long Rubric Scores for Texas A&M Libraries DAMS Evaluation", https://doi.org/10.18738/T8/Q9WP3Y, Texas Data Repository Dataverse, V3 MS Excel file contains 8 worksheets for each Long Rubric evaluation subsection. Each worksheet includes final evaluation scores for DSpace, Islandora, and Hydra/Sufia for that section. Sections include: Inputting and Structuring Content User Management Ticket/Request/Workflow Sta...
DI DAMS Evaluation Rubric Feb 20, 2019 - Libraries DAMS Eval Task Force Dataverse Sewell, Robin R.; Potvin, Sarah; Melgoza, Pauline; Creel, James Silas; Huff, Jeremy T.; Bailey, Gregory T.; Bondurant, John; Buckner, Sean; duPlesis, Anton R.; Furubotten, Lisa; Mosbo Ballestro, Julie A.; Muise, Ian W.; Wright, Brian J., 2019, "DI DAMS Evaluation Rubric", https://doi.org/10.18738/T8/O6O9AK, Texas Data Repository Dataverse, V2 Analysis of 25 potential DAMS by Texas A&M Univeristy Libraries IT group (Digital Initiatives). DAMS were scored on the following: Local Institutional Knowledge API Discovery Documentation Community Health Development
DBLP ACM Dataset Jul 14, 2017 - DLREP Dataverse Dr. Erhard Rahm; Dr. Andreas Thor; Hanna Köpcke, 2017, "DBLP ACM Dataset", https://doi.org/10.18738/T8/G5GZ51, Texas Data Repository Dataverse, V1, UNF:6:Zf7w1oTWrNey47kRmRV99A== [fileUNF] This data set was taken from the Benchmark datasets for entity resolution web page. It contains bibliographic data, with 4 attributes: title, authors, venue, year.
Database used in Machine Learning Methods to Map Stabilizer Effectiveness based on Common Soil Properties 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 Dataverse, 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...
Cora Dataset Jul 21, 2017 - DLREP Dataverse Andrew McCallum, 2017, "Cora Dataset", https://doi.org/10.18738/T8/HUIG48, Texas Data Repository Dataverse, V1 The Cora data contains bibliographic records of machine learning papers that have been manually clustered into groups that refer to the same publication. Originally, Cora was prepared by Andrew McCallum, and his versions of this data set are available on his Data web page. The da...
Campus DAMS Needs Assessment Feb 20, 2019 - Libraries DAMS Eval Task Force Dataverse Sewell, Robin R.; Potvin, Sarah; Melgoza, Pauline; Creel, James Silas; Huff, Jeremy T.; Bailey, Gregory T.; Bondurant, John; Buckner, Sean; duPlesis, Anton R.; Furubotten, Lisa; Mosbo Ballestro, Julie A.; Muise, Ian W.; Wright, Brian J., 2019, "Campus DAMS Needs Assessment", https://doi.org/10.18738/T8/A21OLT, Texas Data Repository Dataverse, V3, UNF:6:MS8+9vC1vugN3HEjnLXnsQ== [fileUNF] This dataset contains the DAMS Task Force Campus Needs Assessment Survey as a PDF. Survey Data is provided in MS Excel (xslx) and csv formats. Survey Results: Questions with multiple answers: answers are separated by a double pipe (\|\|) Questions that included other and a free tex...
Actual Use of Robots for COVID-19 response Jan 12, 2021 - Applications of Robots for COVID-19 Response Murphy, Robin; Gandudi, Vignesh Babu Manjunath, 2021, "Actual Use of Robots for COVID-19 response", https://doi.org/10.18738/T8/SR6HE0, Texas Data Repository Dataverse, V5 The dataset contains 326 instances of actual use of robots for COVID-19 response across 45 countries classified into 6 socio-technical work domains. The data was collected from web search, press reports, social media, and scientific literature.

Short Rubric Scores for Texas A&M Libraries DAMS Evaluation

Feb 20, 2019 - Libraries DAMS Eval Task Force Dataverse

Sewell, Robin R.; Potvin, Sarah; Melgoza, Pauline; Creel, James Silas; Huff, Jeremy T.; Bailey, Gregory T.; Buckner, Sean; duPlessis, Anton R.; Furubotten, Lisa; Mosbo Ballestro, Julie A.; Muise, Ian W.; Wright, Brian J., 2019, "Short Rubric Scores for Texas A&M Libraries DAMS Evaluation", https://doi.org/10.18738/T8/9RIMO0, Texas Data Repository Dataverse, V3, UNF:6:L2qSHQVKFuPloHmxXyRkAw== [fileUNF]

Microsoft Excel (xslx) and csv version of the Texas A&M University Libraries DAMS Task Force Short Rubric evaluation of DSpace, Islandora, Hydra/Sufia, Nuxeo, and ResourceSpace.

Researchers’ Participation in and Motivations for Engaging with Research Information Management Systems

Jan 13, 2018 - Researcher Participation in Research Information Management Systems (RIMSs)

Stvilia, Besiki; Wu, Shuheng; Lee, Dong Joon, 2018, "Researchers’ Participation in and Motivations for Engaging with Research Information Management Systems", https://doi.org/10.18738/T8/HUNOMY, Texas Data Repository Dataverse, V1

Research data for a paper: "Researchers’ Participation in and Motivations for Engaging with Research Information Management Systems"

Long Rubric Scores for Texas A&M Libraries DAMS Evaluation

Feb 20, 2019 - Libraries DAMS Eval Task Force Dataverse

Sewell, Robin R.; Potvin, Sarah; Melgoza, Pauline; Creel, James Silas; Huff, Jeremy T.; Bailey, Gregory T.; Bondurant, John; Buckner, Sean; duPlessis, Anton R.; Furubotten, Lisa; Mosbo Ballestro, Julie A.; Muise, Ian W.; Wright, Brian J., 2019, "Long Rubric Scores for Texas A&M Libraries DAMS Evaluation", https://doi.org/10.18738/T8/Q9WP3Y, Texas Data Repository Dataverse, V3

MS Excel file contains 8 worksheets for each Long Rubric evaluation subsection. Each worksheet includes final evaluation scores for DSpace, Islandora, and Hydra/Sufia for that section. Sections include: Inputting and Structuring Content User Management Ticket/Request/Workflow Sta...

DI DAMS Evaluation Rubric

Feb 20, 2019 - Libraries DAMS Eval Task Force Dataverse

Sewell, Robin R.; Potvin, Sarah; Melgoza, Pauline; Creel, James Silas; Huff, Jeremy T.; Bailey, Gregory T.; Bondurant, John; Buckner, Sean; duPlesis, Anton R.; Furubotten, Lisa; Mosbo Ballestro, Julie A.; Muise, Ian W.; Wright, Brian J., 2019, "DI DAMS Evaluation Rubric", https://doi.org/10.18738/T8/O6O9AK, Texas Data Repository Dataverse, V2

Analysis of 25 potential DAMS by Texas A&M Univeristy Libraries IT group (Digital Initiatives). DAMS were scored on the following: Local Institutional Knowledge API Discovery Documentation Community Health Development

DBLP ACM Dataset

Jul 14, 2017 - DLREP Dataverse

Dr. Erhard Rahm; Dr. Andreas Thor; Hanna Köpcke, 2017, "DBLP ACM Dataset", https://doi.org/10.18738/T8/G5GZ51, Texas Data Repository Dataverse, V1, UNF:6:Zf7w1oTWrNey47kRmRV99A== [fileUNF]

This data set was taken from the Benchmark datasets for entity resolution web page. It contains bibliographic data, with 4 attributes: title, authors, venue, year.

Database used in Machine Learning Methods to Map Stabilizer Effectiveness based on Common Soil Properties

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 Dataverse, 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...

Cora Dataset

Jul 21, 2017 - DLREP Dataverse

Andrew McCallum, 2017, "Cora Dataset", https://doi.org/10.18738/T8/HUIG48, Texas Data Repository Dataverse, V1

The Cora data contains bibliographic records of machine learning papers that have been manually clustered into groups that refer to the same publication. Originally, Cora was prepared by Andrew McCallum, and his versions of this data set are available on his Data web page. The da...

Campus DAMS Needs Assessment

Feb 20, 2019 - Libraries DAMS Eval Task Force Dataverse

Sewell, Robin R.; Potvin, Sarah; Melgoza, Pauline; Creel, James Silas; Huff, Jeremy T.; Bailey, Gregory T.; Bondurant, John; Buckner, Sean; duPlesis, Anton R.; Furubotten, Lisa; Mosbo Ballestro, Julie A.; Muise, Ian W.; Wright, Brian J., 2019, "Campus DAMS Needs Assessment", https://doi.org/10.18738/T8/A21OLT, Texas Data Repository Dataverse, V3, UNF:6:MS8+9vC1vugN3HEjnLXnsQ== [fileUNF]

This dataset contains the DAMS Task Force Campus Needs Assessment Survey as a PDF. Survey Data is provided in MS Excel (xslx) and csv formats. Survey Results: Questions with multiple answers: answers are separated by a double pipe (||) Questions that included other and a free tex...

Actual Use of Robots for COVID-19 response

Jan 12, 2021 - Applications of Robots for COVID-19 Response

Murphy, Robin; Gandudi, Vignesh Babu Manjunath, 2021, "Actual Use of Robots for COVID-19 response", https://doi.org/10.18738/T8/SR6HE0, Texas Data Repository Dataverse, V5

The dataset contains 326 instances of actual use of robots for COVID-19 response across 45 countries classified into 6 socio-technical work domains. The data was collected from web search, press reports, social media, and scientific literature.

Add Data

Share Dataverse

Link Dataverse

Reset Modifications