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Subject: Computer and Information Science

1 to 10 of 14 Results

Actual Use of Robots for COVID-19 response Feb 5, 2021 - Applications of Robots for COVID-19 Response Murphy, Robin; Gandudi, Vignesh Babu Manjunath; Trisha Amin, 2021, "Actual Use of Robots for COVID-19 response", https://doi.org/10.18738/T8/SR6HE0, Texas Data Repository, V6 This dataset contains 338 instances of robots used explicitly in response to COVID-19 from 24 Jan, 2020, to 23 Jan, 2021, in 48 countries.
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, 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...
Machine Learning Methods and Geotechnical Engineering(Texas A and M University) Jan 5, 2021 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.
Applications of Robots for COVID-19 Response(Dr. Robin Murphy, Raytheon Professor of Computer Science and Engineering, Texas A and M University) Jan 3, 2021 This Dataverse contains datasets related to applications of robots for covid-19 response.
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, 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.
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, 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, 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
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, 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...
Libraries DAMS Eval Task Force Dataverse(Texas A&M University) Feb 20, 2019 This dataverse contains data gathered and generated by the Texas A&M University Libraries Digital Asset Management System (DAMS) Task Force (2014-09-01 to 2016-05-01). Data includes campus-wide DAMS needs assessment, Libraries IT (Digital Initiatives) assessment rubric, and testi...
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, V1 Research data for a paper: "Researchers’ Participation in and Motivations for Engaging with Research Information Management Systems"

Actual Use of Robots for COVID-19 response

Feb 5, 2021 - Applications of Robots for COVID-19 Response

Murphy, Robin; Gandudi, Vignesh Babu Manjunath; Trisha Amin, 2021, "Actual Use of Robots for COVID-19 response", https://doi.org/10.18738/T8/SR6HE0, Texas Data Repository, V6

This dataset contains 338 instances of robots used explicitly in response to COVID-19 from 24 Jan, 2020, to 23 Jan, 2021, in 48 countries.

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, 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...

Machine Learning Methods and Geotechnical Engineering(Texas A and M University)

Jan 5, 2021

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.

Applications of Robots for COVID-19 Response(Dr. Robin Murphy, Raytheon Professor of Computer Science and Engineering, Texas A and M University)

Jan 3, 2021

This Dataverse contains datasets related to applications of robots for covid-19 response.

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, 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.

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, 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, 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

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, 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...

Libraries DAMS Eval Task Force Dataverse(Texas A&M University)

Feb 20, 2019

This dataverse contains data gathered and generated by the Texas A&M University Libraries Digital Asset Management System (DAMS) Task Force (2014-09-01 to 2016-05-01). Data includes campus-wide DAMS needs assessment, Libraries IT (Digital Initiatives) assessment rubric, and testi...

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, V1

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

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